Triple
T7631175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheriff Ed Tom Bell |
E172761
|
entity |
| Predicate | warDecoration |
P52023
|
FINISHED |
| Object | Bronze Star (disputed in his mind) |
—
|
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: Bronze Star (disputed in his mind) | Statement: [Sheriff Ed Tom Bell, warDecoration, Bronze Star (disputed in his mind)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warDecoration Context triple: [Sheriff Ed Tom Bell, warDecoration, Bronze Star (disputed in his mind)]
-
A.
warCustom
Indicates a relationship in which one party engages in or applies a particular war-related practice, norm, or customary way of conducting warfare toward or involving another.
-
B.
warFrontDepicted
Indicates that a particular war front or battlefield area is visually represented or shown in a depiction.
-
C.
isNonMilitaryDecoration
Indicates that an honor or award is a decoration that is not associated with military service or military institutions.
-
D.
isMilitaryDecorationOf
chosen
Indicates that something is a military award or honor that has been conferred upon a particular person, unit, or entity.
-
E.
warDamage
Indicates damage that was caused as a direct consequence of war or armed 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa4d2808190942129110711788b |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:56 p.m.