Triple
T15916903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansfield Lovell |
E385991
|
entity |
| Predicate | preWarRole |
P120520
|
FINISHED |
| Object | deputy street commissioner of New York City |
—
|
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: deputy street commissioner of New York City | Statement: [Mansfield Lovell, preWarRole, deputy street commissioner of New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarRole Context triple: [Mansfield Lovell, preWarRole, deputy street commissioner of New York City]
-
A.
preWorldWarIIRole
Indicates the role, position, or function an entity held or performed prior to the onset of World War II.
-
B.
postWWIIRole
Indicates the role, position, or function an entity assumed or performed in the period following World War II.
-
C.
preWarCharacter
Indicates that a character existed or had a particular state or role prior to a specified war or conflict.
-
D.
strategicRoleDuringWar
Indicates that an entity served a particular strategic function or importance during a specific war or armed 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. 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_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. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.