Triple

T10390971
Position Surface form Disambiguated ID Type / Status
Subject Ron’s Gone Wrong E244889 entity
Predicate voiceCastMember P9616 FINISHED
Object Ed Helms E6828 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: Ed Helms | Statement: [Ron’s Gone Wrong, voiceCastMember, Ed Helms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Helms
Context triple: [Ron’s Gone Wrong, voiceCastMember, Ed Helms]
  • A. Ed Helms chosen
    Ed Helms is an American actor and comedian best known for his roles in the TV series "The Office" and "The Daily Show," as well as "The Hangover" film trilogy.
  • B. Luke Wilson
    Luke Wilson is an American actor known for his roles in films such as "The Royal Tenenbaums," "Old School," and "Legally Blonde."
  • C. Michael Urie
    Michael Urie is an American actor best known for his role as Marc St. James on the television series "Ugly Betty" and for his extensive work in theater and film.
  • D. Rob Riggle
    Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
  • E. 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."
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b4f7d08190bcb16d3b4c8f22ad completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e7adc3881909731d5289f370b8b completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:06 p.m.