Triple

T15909946
Position Surface form Disambiguated ID Type / Status
Subject TGS with Tracy Jordan E385818 entity
Predicate hasFictionalCrewMember P61558 FINISHED
Object Cerie Xerox E227342 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: Cerie Xerox | Statement: [TGS with Tracy Jordan, hasFictionalCrewMember, Cerie Xerox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerie Xerox
Context triple: [TGS with Tracy Jordan, hasFictionalCrewMember, Cerie Xerox]
  • A. Cerie Xerox chosen
    Cerie Xerox is a recurring character on the sitcom "30 Rock," known as Liz Lemon’s attractive, laid-back assistant in the TGS writers’ room.
  • B. Xerox
    Xerox is an American corporation best known for pioneering photocopiers and influential computing innovations, including early graphical user interfaces and office software.
  • C. Xerrox series
    The Xerrox series is a collection of experimental electronic music albums by Alva Noto that explore heavily processed, copy-based soundscapes and ambient textures.
  • D. Raimondi
    Raimondi is an Italian surname borne by various notable figures in fields such as science, the arts, and public life.
  • E. Xerox Network Systems
    Xerox Network Systems (XNS) is a pioneering suite of network protocols developed by Xerox in the late 1970s that strongly influenced later networking technologies and protocol stacks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828cd83c8190a3e15cccc8342c1f completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05750ac81908860143f4ca26cc7 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.