Triple

T9998873
Position Surface form Disambiguated ID Type / Status
Subject Captain John H. Miller E197272 entity
Predicate portrayedBy P1507 FINISHED
Object Tom Hanks E10383 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: Tom Hanks | Statement: [Captain John H. Miller, portrayedBy, Tom Hanks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Hanks
Context triple: [Captain John H. Miller, portrayedBy, Tom Hanks]
  • A. Tom Hanks chosen
    Tom Hanks is an acclaimed American actor and filmmaker renowned for his versatile performances in films such as "Forrest Gump," "Saving Private Ryan," and "Cast Away."
  • B. Jim Hanks
    Jim Hanks is an American actor and voice actor, known for frequently voicing Woody in Toy Story-related projects and for being the younger brother of Tom Hanks.
  • C. Hanks
    Hanks is a surname most prominently associated with the American acting family that includes Tom Hanks and his daughter Elizabeth Hanks.
  • D. Thomas C. Hanks
    Thomas C. Hanks is an American seismologist known for co-developing the moment magnitude scale used to measure earthquake size.
  • E. George Clooney
    George Clooney is an American actor, filmmaker, and activist renowned for his work in film and television as well as his humanitarian and political advocacy.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8c78448190a5332f4ff8a7b3dd completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2584bd6cc8190841353847dd2f00c completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:51 p.m.