Triple

T21899125
Position Surface form Disambiguated ID Type / Status
Subject Laurel Holloman E540759 entity
Predicate workedWith P398 FINISHED
Object Katherine Moennig 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: Katherine Moennig | Statement: [Laurel Holloman, workedWith, Katherine Moennig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katherine Moennig
Context triple: [Laurel Holloman, workedWith, Katherine Moennig]
  • A. Katherine Moennig chosen
    Katherine Moennig is an American actress best known for playing the androgynous DJ Shane McCutcheon on the groundbreaking LGBTQ+ drama series "The L Word."
  • B. Melissa Cobb
    Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
  • C. Melissa Reeves
    Melissa Reeves is a fictional character in the 1996 disaster film "Twister," where she begins the story as the fiancée of storm chaser Bill Harding.
  • D. AnnaLynne McCord
    AnnaLynne McCord is an American actress and activist best known for her roles in television series like "90210" and "Nip/Tuck" and in various horror and thriller films.
  • E. Nicole Kassell
    Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc8c2108190b55ff1ba3badc9fb completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.