Triple

T9196416
Position Surface form Disambiguated ID Type / Status
Subject Stephen Power E220723 entity
Predicate isAmbiguousWith P2289 FINISHED
Object Steven Power E220723 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: Steven Power | Statement: [Stephen Power, isAmbiguousWith, Steven Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Power
Context triple: [Stephen Power, isAmbiguousWith, Steven Power]
  • A. Stephen Power chosen
    Stephen Power is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • B. Mark Power
    Mark Power is a British documentary and fine-art photographer known for his large-format projects exploring social landscapes and the changing urban environment.
  • C. Richard Power
    Richard Power is a personal name shared by several notable individuals across fields such as politics, sports, and the arts.
  • D. Keith Powers
    Keith Powers is an American actor known for his roles in films and television series such as "The Tomorrow War," "Straight Outta Compton," and "The New Edition Story."
  • E. Timothy Power
    Timothy Power is a name shared by several notable individuals, including academics and professionals in fields such as political science and classical studies.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87d6460819097234b5dd3f749b4 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d8f358819085dec73f25fd5746 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:25 p.m.