Triple
T22273942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arab Bureau |
E550551
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Mark Sykes |
—
|
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: Mark Sykes | Statement: [Arab Bureau, notableMember, Mark Sykes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Sykes Context triple: [Arab Bureau, notableMember, Mark Sykes]
-
A.
Mark Sykes
chosen
Mark Sykes was a British diplomat and politician best known for co-negotiating the 1916 Sykes–Picot Agreement that divided Ottoman territories in the Middle East between Britain and France.
-
B.
Marcus Manton
Marcus Manton is a film editor known for his work on the family adventure movie "Zeus and Roxanne."
-
C.
Alex Weir
Alex Weir is an American guitarist best known for his work with the funk and new wave band the Tom Tom Club and his collaborations with Talking Heads.
-
D.
Mark Lucraft
Mark Lucraft is a senior British judge who serves in one of the most prominent judicial roles in the City of London.
-
E.
Duncan Kane
Duncan Kane is a central character from the television series "Veronica Mars," known as Veronica's wealthy ex-boyfriend with a troubled family background and dark secrets.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.