Triple
T9388803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AM39 Exocet |
E225970
|
entity |
| Predicate | partOfFamily |
P4276
|
FINISHED |
| Object | Exocet |
E44159
|
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: Exocet | Statement: [AM39 Exocet, partOfFamily, Exocet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Exocet Context triple: [AM39 Exocet, partOfFamily, Exocet]
-
A.
Exocet anti-ship missile
chosen
The Exocet anti-ship missile is a French-built, sea-skimming guided missile renowned for its effectiveness in naval warfare, particularly for its high-profile use in sinking ships during the Falklands War.
-
B.
Torp
Torp is a Norwegian surname most notably associated with architect Niels Torp and several other prominent Norwegian families.
-
C.
Simoa
Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
-
D.
The Corsair
The Corsair is a popular narrative poem by Lord Byron, first published in 1814, that tells the romantic and adventurous tale of a pirate hero and became a major literary sensation of its time.
-
E.
Scud
Scud is a supporting character in the film "Blade II," serving as a young, tech-savvy ally who assists Blade with weapons and equipment.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d6e5f081908102909cb4cbb649 |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100f1182881909c3b11c22e911b61 |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:45 p.m.