Triple

T20958331
Position Surface form Disambiguated ID Type / Status
Subject The Book of Eli (score) E516163 entity
Predicate composer P1361 FINISHED
Object Atticus Ross 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: Atticus Ross | Statement: [The Book of Eli (score), composer, Atticus Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atticus Ross
Context triple: [The Book of Eli (score), composer, 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. Miles Dyson
    Miles Dyson is a pivotal fictional scientist in the Terminator franchise whose work on advanced microprocessors leads to the creation of Skynet and the apocalyptic future central to the series' plot.
  • C. Michael Crane
    Michael Crane is a fictional character appearing in the crime film "This Gun for Hire."
  • D. 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.
  • E. Eric Drimmer
    Eric Drimmer was the first husband of Hungarian-American actress and socialite Eva Gabor.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6d6cd48190b83d1ceb1d0f6670 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:29 p.m.