Triple
T24655523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark McPherson |
E610377
|
entity |
| Predicate | workAffiliation |
P93741
|
FINISHED |
| Object | New York City Police Department |
—
|
NE NERFINISHED |
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: New York City Police Department | Statement: [Mark McPherson, workAffiliation, New York City Police Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAffiliation Context triple: [Mark McPherson, workAffiliation, New York City Police Department]
-
A.
administrativeAffiliation
Indicates that one entity is formally connected to, governed by, or overseen by another entity within an administrative or organizational structure.
-
B.
commonAffiliation
Indicates that two or more entities share the same organizational, institutional, or group affiliation.
-
C.
workAt
chosen
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
-
D.
studioAffiliation
Indicates a relationship where an entity is formally associated with, works for, or is produced by a particular studio.
-
E.
previousCorporateAffiliation
Indicates that an entity was formerly employed by, associated with, or part of a specified corporate organization before its current status or affiliation.
- 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.