Triple
T37863432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Russell |
E944396
|
entity |
| Predicate | militaryInjury |
P28646
|
FINISHED |
| Object | lost both hands in an explosives training accident during World War II |
—
|
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: lost both hands in an explosives training accident during World War II | Statement: [Harold Russell, militaryInjury, lost both hands in an explosives training accident during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryInjury Context triple: [Harold Russell, militaryInjury, lost both hands in an explosives training accident during World War II]
-
A.
wasWoundedIn
chosen
Indicates that an entity sustained an injury as a result of a specified event, situation, or conflict.
-
B.
woundedAt
Indicates that an entity was injured or harmed at a specific place or during a particular event.
-
C.
woundedSeverely
Indicates that one entity has inflicted or suffered a level of injury on another that is serious, potentially life-threatening, or causes significant impairment.
-
D.
hasPlaceOfInjury
Indicates that an injury occurred at a specific place or location.
-
E.
combatRelated
Indicates that the entities are connected through participation in, involvement with, or direct association to combat or military conflict.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 3, 2026, 4:19 p.m.