Triple

T3301114
Position Surface form Disambiguated ID Type / Status
Subject The Pursuit of Happyness E69333 entity
Predicate character P662 FINISHED
Object Chris Gardner E201290 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: Chris Gardner | Statement: [The Pursuit of Happyness, character, Chris Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Gardner
Context triple: [The Pursuit of Happyness, character, Chris Gardner]
  • A. Chris Gardner chosen
    Chris Gardner is an American entrepreneur, motivational speaker, and author whose struggle with homelessness while raising his young son inspired the film "The Pursuit of Happyness."
  • B. Mark O’Brien
    Mark O’Brien is an American local politician who has served as the mayor of Augusta, Maine.
  • C. Mark O'Brien
    Mark O'Brien is an American actor best known for his roles in television series such as City on a Hill and Halt and Catch Fire, as well as various film and independent projects.
  • D. John Tracy
    John Tracy was the son of acclaimed American actor Spencer Tracy and his wife Louise Treadwell, known largely for his connection to his famous father.
  • E. John Walsh
    John Walsh is a distinguished geologist recognized for his significant contributions to the field, including receiving the prestigious William Smith Medal.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a7d224819080d9a638e08bb8a8 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a6fcb9c819084b0c2a1c8af9c49 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.