Triple

T5043356
Position Surface form Disambiguated ID Type / Status
Subject Shotgun E113598 entity
Predicate starring P1507 FINISHED
Object Kermit Maynard E489066 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: Kermit Maynard | Statement: [Shotgun, starring, Kermit Maynard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kermit Maynard
Context triple: [Shotgun, starring, Kermit Maynard]
  • A. Kermit Maynard chosen
    Kermit Maynard was an American actor and stuntman best known for his roles in Western films during the 1930s and 1940s.
  • B. Kermit Bloomgarden
    Kermit Bloomgarden was a prominent American theatrical producer best known for staging major mid-20th-century Broadway plays and musicals, including works by Arthur Miller.
  • C. Kermit
    Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
  • D. Ace Herman
    Ace Herman was an American film editor known for his work on numerous Westerns and B-movies during the mid-20th century.
  • E. Ernie
    Ernie is a common diminutive form of the given name Ernest, often used as a familiar or affectionate nickname.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fc04f08190aba851fa0192d0fb completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea47c5f808190821d7f708003a07d completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.