Triple

T6623924
Position Surface form Disambiguated ID Type / Status
Subject Earl Winfield Spencer Jr. E149747 entity
Predicate familyName P18 FINISHED
Object Spencer E71790 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: Spencer | Statement: [Earl Winfield Spencer Jr., familyName, Spencer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spencer
Context triple: [Earl Winfield Spencer Jr., familyName, Spencer]
  • A. Spencer chosen
    Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
  • B. Spencer
    Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
  • C. Spencer
    Spencer is a 2021 biographical psychological drama film depicting Princess Diana during a tense Christmas holiday with the British royal family, starring Kristen Stewart in the lead role.
  • D. Spencer
    Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
  • E. Spence
    Spence is an Australian federal electoral division in South Australia, represented in the House of Representatives.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7fc054819099a2e58cefd8fed7 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbe2bcfc8190a3224c688443edc9 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:58 p.m.