Triple

T2056677
Position Surface form Disambiguated ID Type / Status
Subject The Dark Knight trilogy E45688 entity
Predicate notableCastMember P7010 FINISHED
Object Aaron Eckhart E135623 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: Aaron Eckhart | Statement: [The Dark Knight trilogy, notableCastMember, Aaron Eckhart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Eckhart
Context triple: [The Dark Knight trilogy, notableCastMember, Aaron Eckhart]
  • A. Aaron Eckhart chosen
    Aaron Eckhart is an American actor best known for his roles in films such as "The Dark Knight," "Thank You for Smoking," and "Erin Brockovich."
  • B. Giovanni Ribisi
    Giovanni Ribisi is an American actor known for his character roles in films like "Saving Private Ryan," "Avatar," and the TV series "Friends."
  • C. Angus Macfadyen
    Angus Macfadyen is a Scottish actor best known for his roles in films such as "Braveheart," "Equilibrium," and "Saw III," as well as numerous television appearances.
  • D. Eric Bana
    Eric Bana is an Australian actor known for his versatile performances in films such as "Hulk," "Munich," and "Troy."
  • E. Brett Cullen
    Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9abdb088190991a620e01dc226f completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2011bf20819094f4f3e88dfde9ea completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:40 p.m.