Triple
T9388487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Wreford-Brown |
E225961
|
entity |
| Predicate | hasRankAtTimeOfFalklandsWar |
P88659
|
FINISHED |
| Object | Commander |
—
|
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: Commander | Statement: [Christopher Wreford-Brown, hasRankAtTimeOfFalklandsWar, Commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRankAtTimeOfFalklandsWar Context triple: [Christopher Wreford-Brown, hasRankAtTimeOfFalklandsWar, Commander]
-
A.
FalklandsWarBelligerent
Indicates that an entity was a participating belligerent (a warring party) in the Falklands War.
-
B.
isWartimeRank
Indicates that a given military rank is designated for use specifically during periods of war or armed conflict, rather than in peacetime.
-
C.
hasRollOfHonour
Indicates that an entity maintains or is associated with a formal record listing individuals who have received honors, awards, or recognition.
-
D.
orderRankWithinOrderOfTheBritishEmpire
Indicates the specific hierarchical rank an individual holds within the Order of the British Empire honors system.
-
E.
hasMilitarySignificanceSince
Indicates that something has held military importance or strategic value starting from a specified point in time.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d6e5f081908102909cb4cbb649 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:45 p.m.