Triple

T689805
Position Surface form Disambiguated ID Type / Status
Subject Dr. Newton Geiszler E13366 entity
Predicate createdBy P806 FINISHED
Object Travis Beacham E30318 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: Travis Beacham | Statement: [Dr. Newton Geiszler, createdBy, Travis Beacham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travis Beacham
Context triple: [Dr. Newton Geiszler, createdBy, Travis Beacham]
  • A. Travis Beacham chosen
    Travis Beacham is an American screenwriter best known for co-writing the science fiction monster film "Pacific Rim."
  • B. Travis Banton
    Travis Banton was a prominent American Hollywood costume designer best known for his glamorous, influential work at Paramount Pictures during the 1920s and 1930s.
  • C. Greg Corbin
    Greg Corbin is a character from the animated television series "American Dad!", known as Stan Smith’s liberal, openly gay neighbor and local news anchor.
  • D. Brian VanDeMark
    Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
  • E. Sean Kilpatrick
    Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0ad379c81909003d35c63822780 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3ff724248190aacb72d105f0bb34 completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:36 p.m.