Triple

T13954490
Position Surface form Disambiguated ID Type / Status
Subject Tinker Bell and the Great Fairy Rescue E335618 entity
Predicate writer P1360 FINISHED
Object Jeffrey M. Howard E1110274 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: Jeffrey M. Howard | Statement: [Tinker Bell and the Great Fairy Rescue, writer, Jeffrey M. Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey M. Howard
Context triple: [Tinker Bell and the Great Fairy Rescue, writer, Jeffrey M. Howard]
  • A. Jeffrey M. Howard chosen
    Jeffrey M. Howard is an American screenwriter best known for his work on animated films, particularly within Disney's Tinker Bell franchise.
  • B. Timothy B. Howard
    Timothy B. Howard is an American law enforcement official who served as the long-time Sheriff of Erie County, New York.
  • C. Gregory H. Johnson
    Gregory H. Johnson is a former NASA astronaut and retired U.S. Air Force colonel who flew on two Space Shuttle missions, including the final flight of Endeavour.
  • D. Jeffrey B. Skiles
    Jeffrey B. Skiles is an American airline pilot best known as the first officer who helped successfully ditch US Airways Flight 1549 on the Hudson River in 2009.
  • E. Phillip A. Talbert
    Phillip A. Talbert is a federal prosecutor who serves as the United States Attorney for the Eastern District of California.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e78a4a481908e438745631a43c0 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b719848190981aec627d64df58 completed May 8, 2026, 12:23 p.m.
Created at: April 9, 2026, 10:17 p.m.