Triple
T23467770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Life |
E569142
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Sam Boyd |
—
|
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: Sam Boyd | Statement: [Love Life, executiveProducer, Sam Boyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Boyd Context triple: [Love Life, executiveProducer, Sam Boyd]
-
A.
Sam Boyd
chosen
Sam Boyd is a screenwriter and director best known for creating the romantic comedy anthology television series "Love Life."
-
B.
Sam Boyd
Sam Boyd was an American casino operator and entrepreneur best known as the co-founder of Boyd Gaming and a key figure in the development of the Las Vegas gaming industry.
-
C.
Jake Ellzey
Jake Ellzey is a Republican politician and former Navy fighter pilot who serves as the U.S. Representative for Texas's 6th congressional district.
-
D.
Evan Farrell
Evan Farrell was an American bassist best known for his work with the indie rock band Rogue Wave before his untimely death in 2007.
-
E.
Mark Breland
Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.