Triple

T4371412
Position Surface form Disambiguated ID Type / Status
Subject Nathan Ford E98904 entity
Predicate associatedWith P37 FINISHED
Object Alec Hardison E114891 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: Alec Hardison | Statement: [Nathan Ford, associatedWith, Alec Hardison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alec Hardison
Context triple: [Nathan Ford, associatedWith, Alec Hardison]
  • A. Alec Hardison chosen
    Alec Hardison is a brilliant, pop-culture-savvy hacker and tech expert who handles all things digital and logistical for the Leverage crew.
  • B. Cedric Maxwell
    Cedric Maxwell is a former NBA forward best known for his key role in the Boston Celtics’ 1981 and 1984 championship teams and for earning the 1981 NBA Finals MVP award.
  • C. Malachi Flynn
    Malachi Flynn is an American professional basketball player and standout point guard known for his collegiate success at San Diego State University and subsequent NBA career.
  • D. 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."
  • E. Aidan Murphy
    Aidan Murphy is the Irish actor better known professionally as Aidan Gillen, recognized for roles in series like "The Wire" and "Game of Thrones."
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521dffbc8190b9300a7f4f64bdc0 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50bcc9481909b0b9d60198dce63 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.