Triple

T12438904
Position Surface form Disambiguated ID Type / Status
Subject Damian Anderson E297219 entity
Predicate createdBy P806 FINISHED
Object Zach Baylin E762770 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: Zach Baylin | Statement: [Damian Anderson, createdBy, Zach Baylin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zach Baylin
Context triple: [Damian Anderson, createdBy, Zach Baylin]
  • A. Zach Baylin chosen
    Zach Baylin is an American screenwriter best known for his work on acclaimed sports dramas such as King Richard and Creed III.
  • B. Zev Siegl
    Zev Siegl is an American entrepreneur and co-founder of the Starbucks coffee company.
  • C. Evan Ziporyn
    Evan Ziporyn is an American composer, clarinetist, and founding member of the Bang on a Can All-Stars known for his innovative fusion of Western contemporary music with Balinese gamelan and other non-Western traditions.
  • D. Justin Furstenfeld
    Justin Furstenfeld is an American singer, songwriter, and guitarist best known as the lead vocalist and primary lyricist of the rock band Blue October.
  • E. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718723bc8190987fa56147712851 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:55 p.m.