Triple
T6124250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Calley |
E136555
|
entity |
| Predicate | onlyU.S.SoldierConvictedForMyLai |
P50904
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [William Calley, onlyU.S.SoldierConvictedForMyLai, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onlyU.S.SoldierConvictedForMyLai Context triple: [William Calley, onlyU.S.SoldierConvictedForMyLai, true]
-
A.
positionOnVietnamWar
Indicates a person or entity’s stance, opinion, or policy position regarding the Vietnam War.
-
B.
convictedIndividual
chosen
Indicates that an individual has been found guilty of a crime or offense through a formal legal process and has received a conviction.
-
C.
armedConflictTheatre
Indicates a geographic area or location where an armed conflict takes place or is actively occurring.
-
D.
usedChildSoldiers
Indicates that an entity employed children as combatants or in direct support roles within an armed conflict.
-
E.
courtMartialed
Indicates that a person has been subjected to a formal military trial for alleged violations of military law.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c25976081909e0a40e07dff0b8a |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.