Triple

T13540995
Position Surface form Disambiguated ID Type / Status
Subject Hillary Whitney E323384 entity
Predicate hasFriend P8712 FINISHED
Object CC Bloom E323383 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: CC Bloom | Statement: [Hillary Whitney, hasFriend, CC Bloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CC Bloom
Context triple: [Hillary Whitney, hasFriend, CC Bloom]
  • A. CC Bloom chosen
    CC Bloom is a passionate, outspoken singer and performer whose lifelong, tumultuous friendship with a more reserved woman forms the emotional core of the film "Beaches."
  • B. Will Bloom
    Will Bloom is the introspective son in the film "Big Fish," whose strained relationship with his storytelling father drives the movie’s exploration of truth, memory, and family.
  • C. Stephen Bloom
    Stephen Bloom is a member of the Bloom brothers, a group known collectively by their shared family name.
  • D. Stephen Bloom
    Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
  • E. Byron Bluth
    Byron "Buster" Bluth is a neurotic, overprotected youngest son and recurring comedic character from the television series "Arrested Development."
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9eaff881909a3cd9e88bb4ec5e completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.