Triple
T4081293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tan War |
E87481
|
entity |
| Predicate | hasCommander |
P1197
|
FINISHED |
| Object | Nevil Macready |
E94516
|
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: Nevil Macready | Statement: [Tan War, hasCommander, Nevil Macready]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nevil Macready Context triple: [Tan War, hasCommander, Nevil Macready]
-
A.
Nevil Macready
chosen
Nevil Macready was a British Army general best known for serving as Commander-in-Chief in Ireland during the Irish War of Independence.
-
B.
Cecil Healy
Cecil Healy was an Australian freestyle swimmer best known for winning a gold and silver medal at the 1912 Stockholm Olympics and for his notable sportsmanship in insisting a delayed rival be allowed to compete.
-
C.
Neville Sinclair
Neville Sinclair is the suave, villainous Hollywood actor and secret Nazi agent from the 1991 film "The Rocketeer."
-
D.
Tilbury Douglas
Tilbury Douglas is a UK-based engineering and construction company known for delivering major infrastructure and building projects, including work on the London Eye.
-
E.
Reginald Gardiner
Reginald Gardiner was a British-born actor and comedian known for his sophisticated comic roles in Hollywood films of the 1930s and 1940s.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc5204d881909829de15015aa50d |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562c3e1b081908cd783d9399a751f |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:39 p.m.