Triple

T15811096
Position Surface form Disambiguated ID Type / Status
Subject Hang Time E383353 entity
Predicate hasCastMember P2308 FINISHED
Object Will Estes E781248 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: Will Estes | Statement: [Hang Time, hasCastMember, Will Estes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Estes
Context triple: [Hang Time, hasCastMember, Will Estes]
  • A. Will Estes chosen
    Will Estes is an American actor best known for playing NYPD officer Jamie Reagan on the television drama series "Blue Bloods."
  • B. Tony Estes
    Tony Estes is a music producer best known for his work on Whitney Houston’s hit song "It’s Not Right but It’s Okay."
  • C. Fenton Stevens
    Fenton Stevens is the surname of British actor and comedian Michael Fenton Stevens, known for his work in television, radio, and comedy.
  • D. James Stevens
    James Stevens is the emotionally restrained English butler at the heart of Kazuo Ishiguro’s novel "The Remains of the Day," famously portrayed on film by Anthony Hopkins.
  • E. Christopher Keyser
    Christopher Keyser is an American television writer and producer best known for co-creating the drama series "Party of Five" and working on numerous other network and streaming shows.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52aae14819091de08630e7e1d1a completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff999210148190baa6dcb19be3a1d3 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.