Triple

T6730635
Position Surface form Disambiguated ID Type / Status
Subject Without a Paddle E153624 entity
Predicate storyBy P1955 FINISHED
Object Fred Wolf E389185 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: Fred Wolf | Statement: [Without a Paddle, storyBy, Fred Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Wolf
Context triple: [Without a Paddle, storyBy, Fred Wolf]
  • A. Fred Wolf chosen
    Fred Wolf is an American comedy writer, director, and producer known for his work on films like "Grown Ups 2" and for his contributions to "Saturday Night Live."
  • B. Ron Huldai
    Ron Huldai is an Israeli politician and former fighter pilot best known for serving as the long-time mayor of Tel Aviv.
  • C. Edmund Stoiber
    Edmund Stoiber is a German conservative politician who served for many years as Minister-President of Bavaria and became a prominent national figure as the CDU/CSU candidate for chancellor in 2002.
  • D. Paul Rauch
    Paul Rauch was an American television producer best known for his influential work on daytime soap operas, including long-running tenures on shows like Another World and One Life to Live.
  • E. Michael Schroeder
    Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b029960819090de37c99e80ceb9 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:09 p.m.