Triple
T15143590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smoke Break |
E361748
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Garren Langford |
E1140153
|
NE FINISHED |
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: Garren Langford | Statement: [Smoke Break, producer, Garren Langford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garren Langford Context triple: [Smoke Break, producer, Garren Langford]
-
A.
Garren Langford
chosen
Garren Langford is a writer best known for his work on the project "Smoke Break."
-
B.
Keith Langford
Keith Langford is an American former professional basketball guard best known for his standout college career at the University of Kansas and a long, high-scoring career in European leagues.
-
C.
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.
-
D.
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.
-
E.
Brant Broughton
Brant Broughton is a small rural village in Lincolnshire, England, known for its historic buildings and traditional English countryside setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69fec882533c8190aae3f5b735ca4ec9 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:07 a.m.