Triple

T8987133
Position Surface form Disambiguated ID Type / Status
Subject Alan Ladd E214695 entity
Predicate child P120 FINISHED
Object Alan Ladd Jr. E244435 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: Alan Ladd Jr. | Statement: [Alan Ladd, child, Alan Ladd Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Ladd Jr.
Context triple: [Alan Ladd, child, Alan Ladd Jr.]
  • A. Alan Ladd Jr. chosen
    Alan Ladd Jr. was an influential American film producer and studio executive best known for championing and greenlighting landmark movies such as Star Wars during his tenure at 20th Century Fox.
  • B. Noel Willman
    Noel Willman was a British actor and director known for his work on stage and screen, including directing major West End and Broadway productions.
  • C. Joel Harlow
    Joel Harlow is an Academy Award-winning American makeup artist and special effects designer known for his work on films such as "Star Trek" and "Pirates of the Caribbean."
  • D. Ryan Hurst
    Ryan Hurst is an American actor best known for his roles in the television series "Sons of Anarchy" and the film "Remember the Titans."
  • E. Aldo Ray
    Aldo Ray was an American film actor known for his tough-guy roles and distinctive raspy voice in numerous Hollywood movies of the 1950s and 1960s.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ef19108190ac518c4f744b6d60 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c155cc819087f1060454da38e5 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:04 p.m.