Triple
T36785842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSEA Protector |
E908908
|
entity |
| Predicate | hasSecurityChiefPortrayedBy |
P74264
|
FINISHED |
| Object | Guy Fleegman |
—
|
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: Guy Fleegman | Statement: [NSEA Protector, hasSecurityChiefPortrayedBy, Guy Fleegman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityChiefPortrayedBy Context triple: [NSEA Protector, hasSecurityChiefPortrayedBy, Guy Fleegman]
-
A.
chiefOfSecurity
chosen
Indicates that one entity holds the primary responsibility for overseeing and managing the security operations of another entity.
-
B.
isAuthorityFigureFor
Indicates that one entity holds a position of recognized power, control, or formal responsibility over another entity.
-
C.
hasChiefExecutiveRole
Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
-
D.
hasPoliceChief
Indicates that an entity has, is associated with, or is under the authority of a specific police chief.
-
E.
hasNotableAuthorityFigure
Indicates that an entity is associated with a prominent individual who holds significant authority or leadership over it.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0067cde0f08190b2cd93af5f00d519 |
completed | May 10, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_6a0065820c8c8190994734433c64a30a |
completed | May 10, 2026, 11:01 a.m. |
Created at: May 3, 2026, 4:12 p.m.