Triple
T37257740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Herbert of Torbay |
E924177
|
entity |
| Predicate | notableHolderMilitaryRank |
P146716
|
FINISHED |
| Object | admiral |
—
|
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: admiral | Statement: [Baron Herbert of Torbay, notableHolderMilitaryRank, admiral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHolderMilitaryRank Context triple: [Baron Herbert of Torbay, notableHolderMilitaryRank, admiral]
-
A.
militaryRankTypicallyHeldBy
Indicates that a given military rank is most commonly or usually held by a particular type or category of person or position.
-
B.
notableMilitaryRoleOfTitleHolder
chosen
Indicates that the title holder is recognized for having a significant or distinguished military role or position.
-
C.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
D.
namedForMilitaryRank
Indicates that one entity is named after or in honor of a specific military rank held by a person or associated with a military position.
-
E.
isMilitaryRank
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
- F. None of above.
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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.