Triple
T10468178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Night in Istanbul |
E246856
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Paul Barber |
E736162
|
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: Paul Barber | Statement: [One Night in Istanbul, hasCastMember, Paul Barber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Barber Context triple: [One Night in Istanbul, hasCastMember, Paul Barber]
-
A.
Paul Barber
chosen
Paul Barber is a British actor best known for his role as Horse in the hit comedy film "The Full Monty" and for his extensive work in UK television and theatre.
-
B.
John Hackett
John Hackett is a name shared by several notable individuals, including military leaders, musicians, and public figures distinguished in their respective fields.
-
C.
Paul Thorn
Paul Thorn is an American singer-songwriter and former professional boxer known for his blend of roots rock, blues, and Americana music.
-
D.
Malcolm Cooke
Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
-
E.
John Stanier
John Stanier is a cinematographer best known for his work on major action films such as "Rambo III."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ff1cd948190a1ef331fb810bf26 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.