Triple
T17115603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Ambush |
E415328
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ambush |
E629768
|
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: Ambush | Statement: [HMS Ambush, namedAfter, Ambush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambush Context triple: [HMS Ambush, namedAfter, Ambush]
-
A.
Ambush
chosen
"Ambush" is a 1950 American Western film starring Robert Taylor and John Hodiak, centered on a cavalry mission to rescue a woman kidnapped by Apaches.
-
B.
In Ambush
"In Ambush" is one of the schoolboy adventure stories in Rudyard Kipling's collection *Stalky & Co.*, featuring the mischievous exploits of the trio Stalky, M'Turk, and Beetle.
-
C.
L’Assaut
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
-
D.
The War Zone
The War Zone is a 1999 British drama film, adapted from Alexander Stuart’s novel, that starkly explores familial abuse and trauma.
-
E.
Guardia de Asalto
The Guardia de Asalto was a Spanish Republican-era urban police and paramilitary force known for its role in maintaining public order and later fighting on the Republican side during the Spanish Civil War.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80528588190a877dcc6d6d3a392 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a0957c081908a1902aea2f02d2a |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.