Triple

T10457632
Position Surface form Disambiguated ID Type / Status
Subject Girls E246586 entity
Predicate portrayedBy P1507 FINISHED
Object Christopher Abbott E162961 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: Christopher Abbott | Statement: [Girls, portrayedBy, Christopher Abbott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Abbott
Context triple: [Girls, portrayedBy, Christopher Abbott]
  • A. Christopher Abbott chosen
    Christopher Abbott is an American actor known for his roles in independent films and television series, including his breakout performance in the HBO series "Girls."
  • B. Logan Marshall-Green
    Logan Marshall-Green is an American actor and director known for his roles in films like "Prometheus" and "Upgrade" as well as various television series.
  • C. Michael Pitt
    Michael Pitt is an American actor and musician best known for his roles in films like "The Dreamers" and "Funny Games" and for his prominent television work in series such as "Boardwalk Empire" and "Hannibal."
  • D. Noah Perabo
    Noah Perabo is a sibling of American actress Piper Perabo, known primarily in relation to her.
  • E. Pablo Schreiber
    Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe4a56e08190ab56d762d6a91b01 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b2803d88190ab93dd19b4cfee30 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:18 p.m.