Triple
T14238513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigadier Lethbridge-Stewart |
E352948
|
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: [Brigadier Lethbridge-Stewart, givenName, Alistair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alistair Context triple: [Brigadier Lethbridge-Stewart, 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.
Alastair Duncan
Alastair Duncan is a Scottish actor and voice actor known for his work in film, television, and video games.
-
D.
Angus Tully
Angus Tully is a troubled, sharp-witted boarding school student whose emotional journey and unlikely bond with his teacher and a school cook form the heart of the film "The Holdovers."
-
E.
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.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281f80548190ad489c418f27e82c |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.