Triple

T3067007
Position Surface form Disambiguated ID Type / Status
Subject George Falconer E62125 entity
Predicate grievesFor P44213 FINISHED
Object Jim E24180 NE FINISHED

How this triple was built (3 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: [George Falconer, grievesFor, Jim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim
Context triple: [George Falconer, grievesFor, 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 the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • D. Joe
    Joe is a common masculine given name, often a short form of Joseph, used widely in English-speaking countries.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grievesFor
Context triple: [George Falconer, grievesFor, Jim]
  • A. diesBy
    Indicates that one entity causes or is responsible for the death of another entity.
  • B. associatedWithDeathOf
    Indicates a relationship where one entity is connected in some relevant way to the death of another entity, such as by involvement, causation, or contextual association.
  • C. diesAt
    Indicates that an entity ceases to live or exist at a specific time or location.
  • D. deathBefore
    Indicates that one entity’s death occurred earlier in time than another entity’s death.
  • E. diedShortlyBefore
    Indicates that one entity’s death occurred a brief time before another specified event or entity’s death.
  • F. None of above. chosen

Provenance (5 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fd87308190918e7b616f033faa completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20354031c819081a0852fe7e181ab completed March 12, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69ad9624b7a0819091d255614f5819ea completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad97f7630c81908e1ca8a69611cff6 completed March 8, 2026, 3:38 p.m.
Created at: March 8, 2026, 3:02 p.m.