Triple

T8639880
Position Surface form Disambiguated ID Type / Status
Subject Gone Girl E204618 entity
Predicate musicBy P1952 FINISHED
Object Atticus Ross E236146 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: Atticus Ross | Statement: [Gone Girl, musicBy, Atticus Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atticus Ross
Context triple: [Gone Girl, musicBy, Atticus Ross]
  • A. Atticus Ross chosen
    Atticus Ross is an English musician, composer, and record producer best known for his atmospheric, industrial-influenced film scores and frequent collaborations with Trent Reznor.
  • B. Michael Crane
    Michael Crane is a fictional character appearing in the crime film "This Gun for Hire."
  • C. Aldrich Killian
    Aldrich Killian is the primary antagonist in Marvel's Iron Man 3, a brilliant but vengeful scientist who develops the Extremis virus to gain superhuman abilities and challenge Tony Stark.
  • D. Martin Hurson
    Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
  • E. Ross Malinger
    Ross Malinger is an American former child actor best known for playing Tom Hanks’s young son in the romantic comedy film "Sleepless in Seattle."
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc340528819085c80b69d6d32a34 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:28 p.m.