Triple
T831021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audie Murphy |
E17964
|
entity |
| Predicate | ageAtEnlistment |
P20116
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Audie Murphy, ageAtEnlistment, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtEnlistment Context triple: [Audie Murphy, ageAtEnlistment, 17]
-
A.
militaryAge
Indicates that an entity is within the age range typically considered eligible for military service.
-
B.
minimumRegistrationAge
Indicates the lowest age at which an entity is allowed or eligible to register for something.
-
C.
admittedCadetsAged
Indicates that an institution has admitted cadets who are of a specified age or within a specified age range.
-
D.
militaryStatus
Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
-
E.
usesConscription
Indicates that a state or authority compels individuals into military or national service through mandatory conscription.
- 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_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. |
| PDg | Predicate description generation | batch_69a4ab60fea8819098ce3269181897d1 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.