Triple
T3715798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Eight Seven |
E81526
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Scott Yagemann |
E479257
|
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: Scott Yagemann | Statement: [One Eight Seven, storyBy, Scott Yagemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Yagemann Context triple: [One Eight Seven, storyBy, Scott Yagemann]
-
A.
Scott Yagemann
chosen
Scott Yagemann is a screenwriter best known for writing the gritty 1997 crime drama film "One Eight Seven," starring Samuel L. Jackson.
-
B.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
C.
Scott Devendorf
Scott Devendorf is an American bassist and multi-instrumentalist best known as a founding member of the indie rock band The National.
-
D.
Scott Wittman
Scott Wittman is an American lyricist, director, and writer best known for his Tony-winning Broadway collaborations with Marc Shaiman on shows like "Hairspray" and "Catch Me If You Can."
-
E.
Scott Leykam
Scott Leykam is a collegiate sports administrator who serves as the athletic director for the University of Portland's Portland Pilots athletic program.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cf77dc819098979094172d82d1 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be777b514081909832a8a520a7f7d1 |
completed | March 21, 2026, 10:48 a.m. |
Created at: March 8, 2026, 3:33 p.m.