Triple
T19871782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Hays |
E477532
|
entity |
| Predicate | preWarCareer |
P120520
|
FINISHED |
| Object | civil engineer in Pennsylvania |
—
|
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: civil engineer in Pennsylvania | Statement: [Alexander Hays, preWarCareer, civil engineer in Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarCareer Context triple: [Alexander Hays, preWarCareer, civil engineer in Pennsylvania]
-
A.
preWarRole
chosen
Indicates the role, position, or function an entity held before the onset of a specified war or conflict.
-
B.
preWarCharacter
Indicates that a character existed or had a particular state or role prior to a specified war or conflict.
-
C.
postWarPosition
Indicates the role, status, or position an entity held in the period following a war.
-
D.
preWarContinuityWith
Indicates that a relationship, structure, or condition remains consistent with or directly continues from its state before a war or major conflict.
-
E.
preWarCountry
Indicates that a country existed or held a particular status prior to a specified war or major 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.