Triple
T831034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audie Murphy |
E17964
|
entity |
| Predicate | sufferedFrom |
P16448
|
FINISHED |
| Object | post-traumatic stress disorder |
—
|
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: post-traumatic stress disorder | Statement: [Audie Murphy, sufferedFrom, post-traumatic stress disorder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sufferedFrom Context triple: [Audie Murphy, sufferedFrom, post-traumatic stress disorder]
-
A.
diagnosedWith
Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
-
B.
hasTragicPast
chosen
Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
-
C.
recoveredFrom
Indicates that an entity has returned to a normal or improved state after previously experiencing or being affected by another specified condition, event, or problem.
-
D.
underwent
Indicates that an entity experienced or was subjected to a process, event, or change, typically as the patient of an action.
-
E.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7b3d2481909199f7c9f305bdfe |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.