Triple
T23499158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple |
E571791
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Terry Date |
—
|
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: Terry Date | Statement: [Apple, producer, Terry Date]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Date Context triple: [Apple, producer, Terry Date]
-
A.
Terry Date
chosen
Terry Date is an American record producer and engineer best known for his work on influential metal and hard rock albums by bands such as Soundgarden, Pantera, and Deftones.
-
B.
Terry Jenoure
Terry Jenoure is an American jazz violinist, vocalist, and composer known for her work in avant-garde and experimental music.
-
C.
Terry Richard
Terry Richard is known as a former spouse of American singer and actor Eddie Fisher.
-
D.
Terry
Terry is a surname of English origin borne by various notable individuals, including military figures such as Alfred Terry.
-
E.
Terry
Terry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Terence or Theresa.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fb71c08190a30500b3f63a9ce6 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:06 p.m.