Triple

T10525565
Position Surface form Disambiguated ID Type / Status
Subject Anthony Zerbe E248294 entity
Predicate notableWork P4 FINISHED
Object Harry O E864774 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: Harry O | Statement: [Anthony Zerbe, notableWork, Harry O]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry O
Context triple: [Anthony Zerbe, notableWork, Harry O]
  • A. Harry O chosen
    Harry O is a 1970s American television crime drama series centered on a private investigator, noted for its character-driven storytelling and realistic tone.
  • B. Harry Lockhart
    Harry Lockhart is a small-time thief-turned-accidental actor who narrates and bumbles his way through a darkly comic murder mystery in the film "Kiss Kiss Bang Bang."
  • C. Harry Black
    Harry Black is a film associated with Indian actor, director, and satirist I. S. Johar, reflecting his work in mid-20th-century cinema.
  • D. Clarkson Potter
    Clarkson Potter is a prominent American publishing imprint known for its high-quality cookbooks, lifestyle, and design titles.
  • E. Gilderoy Lockhart
    Gilderoy Lockhart is a vain, self-absorbed wizard and celebrity author who briefly serves as Defense Against the Dark Arts professor at Hogwarts in the Harry Potter series.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4bbe88190bce7789a56c85671 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e26c4908190b77d73c11bee6119 completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:29 p.m.