Triple

T9746881
Position Surface form Disambiguated ID Type / Status
Subject David Eigenberg E236333 entity
Predicate characterRole P268 FINISHED
Object Steve Brady E528024 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: Steve Brady | Statement: [David Eigenberg, characterRole, Steve Brady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Brady
Context triple: [David Eigenberg, characterRole, Steve Brady]
  • A. Steve Brady chosen
    Steve Brady is a fictional bartender and the long-term love interest of Miranda Hobbes on the television series "Sex and the City."
  • B. Ed Brady
    Ed Brady was an American character actor of the early 20th century who appeared in numerous Hollywood films, often in supporting or uncredited roles.
  • C. Sean Brody
    Sean Brody is a fictional character from the "Jaws" film series, known as the younger son of police chief Martin Brody.
  • D. Bobby McDermott
    Bobby McDermott was an American professional basketball guard widely regarded as one of the greatest players of the pre-NBA era, known for his prolific scoring and multiple championships in the 1930s and 1940s.
  • E. Ray Danton
    Ray Danton was an American actor and director best known for his suave, often villainous roles in film and television during the 1950s and 1960s.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f677830819096d388b9c798ecd5 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b00d76488190af68cba694dc329c completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:23 p.m.