Triple
T28761595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanfield Organization |
E726127
|
entity |
| Predicate | notableDealer |
P203449
|
FINISHED |
| Object | Michael Lee |
—
|
NE NERFINISHED |
How this triple was built (2 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: Michael Lee | Statement: [Stanfield Organization, notableDealer, Michael Lee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDealer Context triple: [Stanfield Organization, notableDealer, Michael Lee]
-
A.
notableDistributor
Indicates that an entity serves as a significant or prominent distributor for another entity.
-
B.
hasConcessionaire
Indicates that one entity is designated as the concessionaire (holder of operating or usage rights under a concession) for another entity.
-
C.
notableManufacturer
Indicates that an entity is a well-known or prominent producer or maker of another entity.
-
D.
brandOfDealership
Indicates that a particular brand is the one sold or represented by a given dealership.
-
E.
notablePartner
Indicates that two entities are or have been significant partners, typically in a prominent or noteworthy personal or professional relationship.
- F. None of above. chosen
Provenance (4 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a01839b071481909f9cc79a6a09387d |
completed | May 11, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_6a017edbed688190baa61cbae5110c8e |
completed | May 11, 2026, 7:01 a.m. |
| PDg | Predicate description generation | batch_6a01839a63a48190a59a6c4464db0eea |
completed | May 11, 2026, 7:22 a.m. |
Created at: April 28, 2026, 6:12 a.m.