Triple
T4884603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Field of Dreams |
E109408
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Ian Crafford |
E400447
|
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: Ian Crafford | Statement: [Field of Dreams, editedBy, Ian Crafford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Crafford Context triple: [Field of Dreams, editedBy, Ian Crafford]
-
A.
Ian Crafford
chosen
Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
-
B.
Ben Cafferty
Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
-
C.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
D.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
E.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6de3718881908521968fa6e6b444 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf486aabac8190a90b4402403078ac |
completed | March 22, 2026, 1:39 a.m. |
Created at: March 20, 2026, 1:27 p.m.