Triple
T7436925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.I. Artificial Intelligence |
E171638
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Ian Watson |
E396299
|
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 Watson | Statement: [A.I. Artificial Intelligence, screenwriter, Ian Watson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Watson Context triple: [A.I. Artificial Intelligence, screenwriter, Ian Watson]
-
A.
Ian Watson
chosen
Ian Watson is a British science fiction author known for his intellectually challenging novels and short stories that often explore complex philosophical and speculative ideas.
-
B.
Tim Watson
Tim Watson is a former Australian rules footballer and three-time premiership player widely regarded as one of Essendon Football Club’s greatest midfielders.
-
C.
Moray Watson
Moray Watson was an English character actor known for his work in British television dramas and comedies from the mid-20th century onward.
-
D.
Ian Woodward
Ian Woodward is a personal name shared by multiple individuals, including professionals in fields such as academia, business, and the arts.
-
E.
David Watkin
David Watkin was an acclaimed British cinematographer known for his innovative naturalistic lighting and work on films such as "Chariots of Fire" and "Out of Africa."
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f349399c8190b46d5882ece2e73a |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8f2ffec108190ab60b0777d97dd89 |
completed | March 29, 2026, 9:38 a.m. |
Created at: March 27, 2026, 3:13 p.m.