Triple

T7342853
Position Surface form Disambiguated ID Type / Status
Subject I Love You E169299 entity
Predicate writer P1360 FINISHED
Object Michael Angelo Saulsberry E663100 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: Michael Angelo Saulsberry | Statement: [I Love You, writer, Michael Angelo Saulsberry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Angelo Saulsberry
Context triple: [I Love You, writer, Michael Angelo Saulsberry]
  • A. Michael Angelo Saulsberry chosen
    Michael Angelo Saulsberry is a music producer best known for his work on the R&B album "Faithfully."
  • B. Phil Cunningham
    Phil Cunningham is an English guitarist and keyboardist best known for his work with the band New Order and previously with Marion.
  • C. Michael Brandt
    Michael Brandt is an American screenwriter, director, and producer known for co-writing action films like "2 Fast 2 Furious" and for his work on television series such as "Chicago Fire."
  • D. Greg Stillson
    Greg Stillson is the ambitious, populist politician and primary antagonist in Stephen King’s novel "The Dead Zone," whose rise to power is foreseen to lead to catastrophic consequences.
  • E. Austin Sherman
    Austin Sherman is known as one of the children of American actress Sela Ward.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0db2db8819088c4bed5d65571f6 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83433ca8081909ab00d1fe3ab1041 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:04 p.m.