Triple

T2748466
Position Surface form Disambiguated ID Type / Status
Subject The Most Happy Fella E60925 entity
Predicate originalProducer P21334 FINISHED
Object Kermit Bloomgarden E9881 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 Bloomgarden | Statement: [The Most Happy Fella, originalProducer, Kermit Bloomgarden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kermit Bloomgarden
Context triple: [The Most Happy Fella, originalProducer, Kermit Bloomgarden]
  • A. Kermit Bloomgarden chosen
    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.
  • B. Kermit
    Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
  • C. Burt
    Burt is a masculine given name most famously associated with American composer and songwriter Burt Bacharach.
  • D. Ernie
    Ernie is a common diminutive form of the given name Ernest, often used as a familiar or affectionate nickname.
  • E. Grover
    Grover is a masculine given name most famously borne by Grover Cleveland, the 22nd and 24th president of the United States.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb517a00819084fd8f8933a25212 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd341a88190ae0f5eb94a6fdc92 completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.