Triple
T3540651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip May |
E74875
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Philip May |
E74875
|
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: Philip May | Statement: [Philip May, name, Philip May]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip May Context triple: [Philip May, name, Philip May]
-
A.
Philip May
chosen
Philip May is a British investment manager best known as the husband of former UK Prime Minister Theresa May.
-
B.
Philip Vian
Philip Vian was a distinguished British Royal Navy admiral known for his aggressive leadership in destroyer actions and key naval engagements during the Second World War.
-
C.
William Russ
William Russ is an American actor best known for his work in film and television, including prominent roles in dramas and family sitcoms.
-
D.
Joseph MacDonald
Joseph MacDonald was an American cinematographer known for his work on numerous classic Hollywood films, particularly in the 1940s and 1950s.
-
E.
David Hartnett
David Hartnett is a British civil servant best known for serving as the Permanent Secretary for Tax at HM Revenue and Customs, where he was the UK's top tax official.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf729000819086e4fdba9e73e198 |
completed | March 8, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bd7fa3881909fee11cc6f4af7ea |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.