Triple
T10162164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord McAlpine |
E233915
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alistair |
E466578
|
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: Alistair | Statement: [Lord McAlpine, givenName, Alistair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alistair Context triple: [Lord McAlpine, givenName, Alistair]
-
A.
Alistair
chosen
Alistair is a masculine given name of Scottish origin commonly used in English-speaking countries.
-
B.
Iain
Iain is a Scottish Gaelic given name, traditionally used as a form of John and closely related to the name Ian.
-
C.
Alistair Donald
Alistair Donald is a British filmmaker and photographer known for his work in documentary and commercial projects and for his past marriage to fashion designer Stella McCartney.
-
D.
Alec Cameron
Alec Cameron is an Australian academic and higher education leader who serves as the Vice-Chancellor and President of RMIT University.
-
E.
Angus Sutherland
Angus Sutherland is a Canadian actor and producer, known both for his work in film and television and as a member of the Sutherland acting family.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5b5194819095645e9174897b0f |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300c2651c8190a80c933002ac62e8 |
completed | April 6, 2026, 12:39 a.m. |
Created at: March 30, 2026, 9:09 p.m.