Triple

T3998572
Position Surface form Disambiguated ID Type / Status
Subject Tom Sawyer universe E87156 entity
Predicate featuresCharacter P626 FINISHED
Object Jim E24180 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: Jim | Statement: [Tom Sawyer universe, featuresCharacter, Jim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim
Context triple: [Tom Sawyer universe, featuresCharacter, Jim]
  • A. Jim chosen
    Jim is a common English given name, typically used as a diminutive or familiar form of James.
  • B. Joe
    Joe is the given name of Joe Rosenthal, the American photographer famous for his iconic World War II image of the flag raising on Iwo Jima.
  • C. Joe
    "Joe" is a 1970 American drama film, directed by John G. Avildsen, that explores class conflict and reactionary violence through the unlikely alliance between a wealthy executive and a bigoted factory worker.
  • D. Joe
    Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • E. Joe
    Joe is an American R&B singer and songwriter known for his smooth vocals and romantic ballads, particularly popular in the late 1990s and early 2000s.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa4065ac8190a898a1025365b8e9 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5628d37a0819090595f083343989e completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:34 p.m.