Triple

T10445800
Position Surface form Disambiguated ID Type / Status
Subject Creed (film score) E246282 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Adonis Creed E61461 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: Adonis Creed | Statement: [Creed (film score), associatedWithCharacter, Adonis Creed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adonis Creed
Context triple: [Creed (film score), associatedWithCharacter, Adonis Creed]
  • A. Adonis Creed chosen
    Adonis Creed is a fictional professional boxer and the son of Apollo Creed, serving as the central protagonist of the Rocky spin-off and sequel film series Creed.
  • B. Michael Dixon Creed
    Michael Dixon Creed is a British public figure who has served as the ceremonial representative of the monarch in the county of Kent.
  • C. Gage Creed
    Gage Creed is a young boy whose tragic death and supernatural resurrection drive the central horror and emotional conflict in Stephen King’s novel "Pet Sematary."
  • D. Deshaun
    Deshaun is the first name of Deshaun Watson, an American professional football quarterback in the NFL.
  • E. Marlon
    Marlon is a masculine given name most famously associated with legendary American actor Marlon Brando.
  • 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_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87eeae8788190b63534fa4f942ead completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:16 p.m.