Triple

T4084539
Position Surface form Disambiguated ID Type / Status
Subject Danny DeVito E87557 entity
Predicate fullName P16 FINISHED
Object Daniel Michael DeVito Jr. E87557 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: Daniel Michael DeVito Jr. | Statement: [Danny DeVito, fullName, Daniel Michael DeVito Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Michael DeVito Jr.
Context triple: [Danny DeVito, fullName, Daniel Michael DeVito Jr.]
  • A. Basil DeVito
    Basil DeVito is a sports executive best known for helping launch and lead the original XFL football league as its first commissioner.
  • B. Joe DeVito
    Joe DeVito is an American artist and writer best known for expanding the King Kong universe through his illustrated novel and related works.
  • C. Danny DeVito chosen
    Danny DeVito is an American actor, comedian, and filmmaker known for his distinctive stature, gravelly voice, and memorable roles in film and television spanning several decades.
  • D. Elliot De Niro
    Elliot De Niro is one of the children of acclaimed American actor Robert De Niro.
  • E. Aaron Kendrick De Niro
    Aaron Kendrick De Niro is one of actor Robert De Niro’s twin sons, born to model and actress Toukie Smith.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7a4b488190ab466e2c50329ab3 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c9760c8190a9292eb1cea55ab2 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.