Triple

T5713975
Position Surface form Disambiguated ID Type / Status
Subject Shampoo E125977 entity
Predicate starring P1507 FINISHED
Object Howard Hesseman E380943 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: Howard Hesseman | Statement: [Shampoo, starring, Howard Hesseman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Hesseman
Context triple: [Shampoo, starring, Howard Hesseman]
  • A. Howard Hesseman chosen
    Howard Hesseman was an American actor and comedian best known for his role as DJ Dr. Johnny Fever on the television sitcom "WKRP in Cincinnati."
  • B. Kurtwood Smith
    Kurtwood Smith is an American character actor best known for playing the strict father Red Forman on the sitcom "That '70s Show" and for roles in films like "RoboCop."
  • C. Gil Birmingham
    Gil Birmingham is an American actor known for his powerful supporting roles in film and television, including prominent appearances in series like Yellowstone and the Twilight Saga films.
  • D. Timothy Newhart
    Timothy Newhart is one of the children of American television personality and producer Ginny Newhart and comedian-actor Bob Newhart.
  • E. Ronny Cox
    Ronny Cox is an American actor and musician best known for his roles in films such as "Deliverance," "RoboCop," and "Total Recall," often portraying authoritative or villainous characters.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b6c7c8819095a92f2ccede1197 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0b3412c8190a4b97863e060e928 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:46 p.m.