Triple

T16299661
Position Surface form Disambiguated ID Type / Status
Subject Phil Weston E395749 entity
Predicate portrayedBy P1507 FINISHED
Object Will Ferrell E12114 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: Will Ferrell | Statement: [Phil Weston, portrayedBy, Will Ferrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Ferrell
Context triple: [Phil Weston, portrayedBy, Will Ferrell]
  • A. Will Ferrell chosen
    Will Ferrell is an American comedian, actor, writer, and producer best known for his work on "Saturday Night Live" and a series of hit comedy films such as "Anchorman" and "Elf."
  • B. Will Forte
    Will Forte is an American actor, comedian, and writer best known for his work on "Saturday Night Live" and for creating and starring in the TV series "The Last Man on Earth."
  • C. Jon Heder
    Jon Heder is an American actor best known for his breakout role in the cult comedy film "Napoleon Dynamite" and subsequent performances in various comedy movies.
  • D. Owen Wilson
    Owen Wilson is an American actor and screenwriter known for his laid-back charm and roles in popular comedies and adventure films such as "Wedding Crashers," "Zoolander," and "Midnight in Paris."
  • E. Luke Wilson
    Luke Wilson is an American actor known for his roles in films such as "The Royal Tenenbaums," "Old School," and "Legally Blonde."
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e31c9e8819094593f3aeb44f2ca completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00580b94c88190a3330791e505fd6a completed May 10, 2026, 10:03 a.m.
Created at: April 10, 2026, 5:06 a.m.