Triple

T3275628
Position Surface form Disambiguated ID Type / Status
Subject Joaquin Phoenix E68750 entity
Predicate fullName P16 FINISHED
Object Joaquin Rafael Phoenix E68750 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: Joaquin Rafael Phoenix | Statement: [Joaquin Phoenix, fullName, Joaquin Rafael Phoenix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joaquin Rafael Phoenix
Context triple: [Joaquin Phoenix, fullName, Joaquin Rafael Phoenix]
  • A. Joaquin Phoenix chosen
    Joaquin Phoenix is an acclaimed American actor known for his intense, transformative performances in films such as "Joker," "Walk the Line," and "The Master."
  • B. Jesse Wheaton
    Jesse Wheaton was an early settler and community leader after whom the city of Wheaton, Illinois, is named.
  • C. Emile Hirsch
    Emile Hirsch is an American actor known for his intense performances in films such as "Into the Wild," "Milk," and "Lone Survivor."
  • D. Ryan Phillippe
    Ryan Phillippe is an American actor known for his roles in films such as "I Know What You Did Last Summer," "Cruel Intentions," and "Flags of Our Fathers."
  • E. Christopher Abbott
    Christopher Abbott is an American actor known for his roles in independent films and television series, including his breakout performance in the HBO series "Girls."
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0110f1c8190ae60708b686cbbf9 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8462a0c8190aba2330da6c49ecf completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.