Triple
T18030985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Lady |
E431387
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Trevor Job |
—
|
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: Trevor Job | Statement: [Sweet Lady, producer, Trevor Job]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trevor Job Context triple: [Sweet Lady, producer, Trevor Job]
-
A.
Trevor Job
chosen
Trevor Job is an author best known for writing the work titled "Sweet Lady."
-
B.
Trevor Johnston
Trevor Johnston is an Australian linguist renowned for his pioneering research and documentation of Auslan, the sign language of the Australian Deaf community.
-
C.
Trevor Garfield
Trevor Garfield is the troubled high school teacher protagonist of the 1997 crime drama film "One Eight Seven," portrayed by Samuel L. Jackson.
-
D.
Jon Taffer
Jon Taffer is an American hospitality expert, entrepreneur, and television personality best known for transforming failing bars and nightclubs on the reality series "Bar Rescue."
-
E.
Trevor Rich
Trevor Rich is a hip-hop artist known for his featured appearance on the track "Born 2 Rap."
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.