Triple
T3265025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. Craig Jelinek |
E68504
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
FedMart
FedMart was an early American discount department store chain that helped pioneer the warehouse-style retail model later popularized by companies like Costco.
|
E341571
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: FedMart | Statement: [W. Craig Jelinek, employer, FedMart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FedMart Context triple: [W. Craig Jelinek, employer, FedMart]
-
A.
FedEx
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
B.
United Parcel Service (UPS)
United Parcel Service (UPS) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
-
C.
FedExField
FedExField is a large outdoor football stadium in Landover, Maryland, best known as the longtime home venue of Washington’s NFL franchise.
-
D.
Sky Mart
Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
-
E.
National Express
National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FedMart Triple: [W. Craig Jelinek, employer, FedMart]
Generated description
FedMart was an early American discount department store chain that helped pioneer the warehouse-style retail model later popularized by companies like Costco.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FedMart Target entity description: FedMart was an early American discount department store chain that helped pioneer the warehouse-style retail model later popularized by companies like Costco.
-
A.
FedEx
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
B.
United Parcel Service (UPS)
United Parcel Service (UPS) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
-
C.
FedExField
FedExField is a large outdoor football stadium in Landover, Maryland, best known as the longtime home venue of Washington’s NFL franchise.
-
D.
Sky Mart
Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
-
E.
National Express
National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcb2da08190a7f4fefdfe6d0098 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ee82a78819082582a24bac97f44 |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b29015e77481908c8b41fc3f75dd6f |
completed | March 12, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ac133f648190a4040881db05a353 |
completed | March 12, 2026, 12:05 p.m. |
Created at: March 8, 2026, 3:09 p.m.