Triple
T2990343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jobs |
E80734
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Matt Whiteley |
E46410
|
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: Matt Whiteley | Statement: [Jobs, screenwriter, Matt Whiteley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Whiteley Context triple: [Jobs, screenwriter, Matt Whiteley]
-
A.
Matt Whiteley
chosen
Matt Whiteley is a screenwriter best known for writing the biographical drama film "Jobs" about Apple co-founder Steve Jobs.
-
B.
Derek Twigg
Derek Twigg is a British Labour Party politician and Member of Parliament who has held several junior ministerial roles in UK government.
-
C.
Jonathan Cavendish
Jonathan Cavendish is a British film producer best known for co-founding The Imaginarium Studios and producing acclaimed films such as "Bridget Jones’s Diary" and "Breathe."
-
D.
Iain Farrington
Iain Farrington is a British pianist, organist, composer, and arranger known for his versatile work across classical and contemporary music, including high-profile national events.
-
E.
Jon Whiteley
Jon Whiteley was a Scottish child actor of the 1950s who gained prominence for his acclaimed film performances, including one that earned him an Academy Juvenile Award.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99de55208190bc56ecbe08638e5a |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b10900bf2481908b7742604c6d75e9 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:59 p.m.