Triple

T16286130
Position Surface form Disambiguated ID Type / Status
Subject Fair Play E395391 entity
Predicate castMember P1668 FINISHED
Object Geraldine Somerville E318204 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: Geraldine Somerville | Statement: [Fair Play, castMember, Geraldine Somerville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geraldine Somerville
Context triple: [Fair Play, castMember, Geraldine Somerville]
  • A. Geraldine Somerville chosen
    Geraldine Somerville is an Irish-born British actress best known for her roles in the Harry Potter film series and numerous acclaimed British television dramas and period films.
  • B. Margaret Spruance
    Margaret Spruance was the daughter of U.S. Navy Admiral Raymond A. Spruance, a prominent World War II Pacific Fleet commander.
  • C. Claudia Cowan
    Claudia Cowan is an American television news reporter best known for her work as a correspondent for Fox News Channel.
  • D. Cathleen Neilson
    Cathleen Neilson was an American socialite known for her marriage into the wealthy Vanderbilt family through Reginald Claypoole Vanderbilt.
  • E. Rosemary Telesco
    Rosemary Telesco is the young girl who becomes the object of the protagonist's first crush in the romantic comedy film "Little Manhattan."
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24914bda08190a5d6315414ee3f76 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017caaa448190a5034ddbd90d2fd5 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.