Triple

T13710934
Position Surface form Disambiguated ID Type / Status
Subject Gregory Corso E328767 entity
Predicate notableWork P4 FINISHED
Object Long Live Man E307440 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: Long Live Man | Statement: [Gregory Corso, notableWork, Long Live Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Live Man
Context triple: [Gregory Corso, notableWork, Long Live Man]
  • A. Long Live Man chosen
    Long Live Man is a 1962 poetry collection by Beat Generation poet Gregory Corso that showcases his characteristic blend of surreal imagery, humor, and existential reflection.
  • B. The Man Who Wouldn't Die
    The Man Who Wouldn't Die is a 1994 made-for-TV mystery film starring Nancy Allen as a woman entangled in a deadly plot involving identity, deception, and an apparently indestructible man.
  • C. We the Living
    We the Living is a 1942 Italian film adaptation of Ayn Rand’s novel, depicting life and individual struggle under Soviet totalitarianism.
  • D. The Man Who Could Cheat Death
    The Man Who Could Cheat Death is a 1959 British horror film about an immortal sculptor whose gruesome rejuvenation methods lead to terror and tragedy.
  • E. The Man Who Finally Died
    The Man Who Finally Died is a 1963 British thriller film, based on a television serial, about a man investigating his supposedly dead father's mysterious past in a small Bavarian town.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d54a68081908df25edf6d5df362 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.