Triple
T21624884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clint Romesha |
E533673
|
entity |
| Predicate | hasRankAtTimeOfEvent |
P144825
|
FINISHED |
| Object | Staff Sergeant during Battle of Kamdesh |
—
|
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: Staff Sergeant during Battle of Kamdesh | Statement: [Clint Romesha, hasRankAtTimeOfEvent, Staff Sergeant during Battle of Kamdesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRankAtTimeOfEvent Context triple: [Clint Romesha, hasRankAtTimeOfEvent, Staff Sergeant during Battle of Kamdesh]
-
A.
hasRankContext
Indicates that an entity’s rank or ordering is defined, interpreted, or constrained within a specific contextual framework or situation.
-
B.
hasRankAtDeath
Indicates the rank or position an entity held at the time of its death.
-
C.
establishedForEvent
Indicates that something (such as an organization, structure, or arrangement) was created or set up specifically for a particular event.
-
D.
hasRankAtRetirement
Indicates the rank or position an entity held at the time it retired or was formally withdrawn from active service.
-
E.
containsRank
Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52121c3c8190b9b4d862ed247c71 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:34 p.m.