Triple
T31744376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V-bomber force |
E810228
|
entity |
| Predicate | VictorRole |
P172498
|
FINISHED |
| Object | bomber and later tanker |
—
|
LITERAL 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: bomber and later tanker | Statement: [V-bomber force, VictorRole, bomber and later tanker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VictorRole Context triple: [V-bomber force, VictorRole, bomber and later tanker]
-
A.
victor
Indicates that one entity is the winner or has prevailed over another in a contest, conflict, or competition.
-
B.
roleOfVictorFeldbrill
Indicates the professional role, position, or capacity held by Victor Feldbrill in a given context.
-
C.
actorForCharacterVictor
Indicates that an entity serves as the actor portraying or performing the character Victor.
-
D.
victimRole
Indicates that one entity participates in an event or situation specifically in the role of the victim or harmed party.
-
E.
victimCharacter
Indicates that one entity is the victim or target of harm, wrongdoing, or an adverse action carried out by another entity.
- F. None of above. chosen
Provenance (4 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:26 p.m.