Triple
T15916904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansfield Lovell |
E385991
|
entity |
| Predicate | preWarExperience |
P61727
|
FINISHED |
| Object | Mexican–American War veteran |
—
|
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: Mexican–American War veteran | Statement: [Mansfield Lovell, preWarExperience, Mexican–American War veteran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarExperience Context triple: [Mansfield Lovell, preWarExperience, Mexican–American War veteran]
-
A.
WWIIExperience
Indicates that an entity has a specific involvement, role, or personal history related to World War II.
-
B.
conflictExperience
chosen
Indicates that an entity has undergone or been involved in a conflict, such as a dispute, struggle, or confrontation.
-
C.
preWarOccupation
Indicates the occupation or role a person held before a specific war or armed conflict.
-
D.
preWarCountry
Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
-
E.
preWarCharacter
Indicates that a character existed or had a particular state or role prior to a specified war or 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.