Triple

T17155494
Position Surface form Disambiguated ID Type / Status
Subject Danny E416334 entity
Predicate formsCommunityWith P26923 FINISHED
Object Jesus Maria E416336 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: Jesus Maria | Statement: [Danny, formsCommunityWith, Jesus Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesus Maria
Context triple: [Danny, formsCommunityWith, Jesus Maria]
  • A. Jesus Maria chosen
    Jesus Maria is a central character in John Steinbeck’s novel "Tortilla Flat," known as one of the paisano friends whose humorous misadventures explore themes of camaraderie and poverty in post–World War I Monterey, California.
  • B. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • C. José
    José is the given first name of former Major League Baseball player and coach Joey Cora.
  • D. José
    José is a common Spanish and Portuguese male given name, equivalent to Joseph in English.
  • E. Maria Victoria Martinelli Portinari
    Maria Victoria Martinelli Portinari was the wife and lifelong companion of renowned Brazilian painter Cândido Portinari, playing a key role in preserving and promoting his artistic legacy.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40b402881908b8c01d7b957d0d2 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415f3cd481908e96ca294cf3b247 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:37 a.m.