Triple
T15143587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smoke Break |
E361748
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Garren Langford
Garren Langford is a writer best known for his work on the project "Smoke Break."
|
E1140153
|
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: Garren Langford | Statement: [Smoke Break, writer, Garren Langford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garren Langford Context triple: [Smoke Break, writer, Garren Langford]
-
A.
Jared Spurgeon
Jared Spurgeon is a Canadian professional ice hockey defenseman in the NHL known for his smart two-way play and leadership with the Minnesota Wild.
-
B.
Garrett Fagan
Garrett Fagan was a historian and professor of ancient history, best known for his work on Roman history, public spectacles, and the critical examination of pseudoarchaeology.
-
C.
Brant Broughton
Brant Broughton is a small rural village in Lincolnshire, England, known for its historic buildings and traditional English countryside setting.
-
D.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
-
E.
Aaron Burckhard
Aaron Burckhard is an American drummer best known as one of the earliest drummers for the grunge band Nirvana during its formative years.
- 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: Garren Langford Triple: [Smoke Break, writer, Garren Langford]
Generated description
Garren Langford is a writer best known for his work on the project "Smoke Break."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garren Langford Target entity description: Garren Langford is a writer best known for his work on the project "Smoke Break."
-
A.
Jared Spurgeon
Jared Spurgeon is a Canadian professional ice hockey defenseman in the NHL known for his smart two-way play and leadership with the Minnesota Wild.
-
B.
Garrett Fagan
Garrett Fagan was a historian and professor of ancient history, best known for his work on Roman history, public spectacles, and the critical examination of pseudoarchaeology.
-
C.
Brant Broughton
Brant Broughton is a small rural village in Lincolnshire, England, known for its historic buildings and traditional English countryside setting.
-
D.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
-
E.
Aaron Burckhard
Aaron Burckhard is an American drummer best known as one of the earliest drummers for the grunge band Nirvana during its formative years.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfee0ae48190a36523d3eeae9740 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec17d53448190942e5df10ffad4e5 |
completed | May 9, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec2300c4481908892a6515d99c12f |
completed | May 9, 2026, 5:12 a.m. |
Created at: April 10, 2026, 3:07 a.m.