Triple

T7072693
Position Surface form Disambiguated ID Type / Status
Subject Eli Samaha E164736 entity
Predicate notableWork P4 FINISHED
Object Angel Eyes E631451 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: Angel Eyes | Statement: [Eli Samaha, notableWork, Angel Eyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angel Eyes
Context triple: [Eli Samaha, notableWork, Angel Eyes]
  • A. Angel Eyes
    Angel Eyes is the ruthless, cold-blooded bounty hunter and primary antagonist portrayed by Lee Van Cleef in the classic Spaghetti Western film "The Good, the Bad and the Ugly."
  • B. Angel Eyes chosen
    Angel Eyes is a 2001 romantic drama film starring Jennifer Lopez as a Chicago police officer who forms a healing bond with a mysterious, traumatized man.
  • C. In His Eyes
    "In His Eyes" is a poignant duet from the Broadway musical Jekyll & Hyde, sung by the characters Lucy and Emma as they reflect on their conflicted feelings for the same man.
  • D. The Devil In Your Eyes
    The Devil In Your Eyes is a track from the progressive metal album "The Human Condition" by Saga.
  • E. Eye to Eye
    Eye to Eye is a creative work whose title matches its own name, likely a book, film, song, or television program centered on themes of direct confrontation or mutual understanding.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4cb76548190bd98876f8ba925b7 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7945fdafc81909c265373627af4e8 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:39 p.m.