Triple
T6278211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Don't Cost a Thing (2003 film) |
E140713
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Troy Byer |
E582610
|
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: Troy Byer | Statement: [Love Don't Cost a Thing (2003 film), screenwriter, Troy Byer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Byer Context triple: [Love Don't Cost a Thing (2003 film), screenwriter, Troy Byer]
-
A.
Troy Byer
chosen
Troy Byer is an American actress, screenwriter, and film director known for her work in both independent and mainstream cinema.
-
B.
Trevor Engelson
Trevor Engelson is an American film producer and talent manager best known for his work in Hollywood and for his former marriage to Meghan, Duchess of Sussex.
-
C.
Troy Miller
Troy Miller is an American film and television director and producer known for his work in comedy specials, series, and feature films.
-
D.
Mark Okerstrom
Mark Okerstrom is a Canadian business executive best known for serving as the former CEO of Expedia Group.
-
E.
Nathan Tyson
Nathan Tyson is an English professional footballer known as a pacey forward who has played for numerous clubs in the English Football League.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063daec108190859d1d5dbafd5b42 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e40844b48190837b75baaf8dabda |
completed | March 27, 2026, 1:57 a.m. |
Created at: March 22, 2026, 4:26 p.m.