Triple

T36785840
Position Surface form Disambiguated ID Type / Status
Subject NSEA Protector E908908 entity
Predicate hasCommunicationsOfficerPortrayedBy P205047 FINISHED
Object Gwen DeMarco E937910 NE 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: Gwen DeMarco | Statement: [NSEA Protector, hasCommunicationsOfficerPortrayedBy, Gwen DeMarco]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommunicationsOfficerPortrayedBy
Context triple: [NSEA Protector, hasCommunicationsOfficerPortrayedBy, Gwen DeMarco]
  • A. hasNotablePortrayerOccupation
    Indicates that the occupation specified is a notable profession of a person who portrays the given entity (such as an actor playing a character).
  • B. wasPortrayedAs
    Indicates that one entity has been depicted or represented in the form or role of another entity, typically within some medium or context.
  • C. hasCaptainPortrayedBy
    Indicates that the captain of an entity (e.g., a team, ship, or group) is portrayed or played by a specific person.
  • D. hasOfficialSpokespersons
    Indicates that an entity is formally represented or spoken for by one or more designated spokespersons in an official capacity.
  • E. partnerPortrayedBy
    Indicates that one entity is the actor or performer who portrays the partner or counterpart of another entity in a work.
  • F. None of above. chosen

Provenance (5 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_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e161294c88190934387c5c53e84fa completed June 26, 2026, 6:02 a.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82f8c88190bd77a086023ac0e1 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:12 p.m.