Triple

T2352321
Position Surface form Disambiguated ID Type / Status
Subject Hamlet (1996 film) E47475 entity
Predicate editedBy P1954 FINISHED
Object Neil Farrell
Neil Farrell is a film editor best known for his work on Kenneth Branagh’s 1996 adaptation of Hamlet.
E260226 NE FINISHED

How this triple was built (4 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: Neil Farrell | Statement: [Hamlet (1996 film), editedBy, Neil Farrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Farrell
Context triple: [Hamlet (1996 film), editedBy, Neil Farrell]
  • A. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • B. Daniel Neeson
    Daniel Neeson is the son of acclaimed Irish actor Liam Neeson and his late wife, actress Natasha Richardson.
  • C. Dermot Crowley
    Dermot Crowley is an Irish actor best known for his role as DSU Martin Schenk in the British crime drama series "Luther."
  • D. Dominic Kinnear
    Dominic Kinnear is a Scottish-American soccer coach and former player best known for leading the Houston Dynamo to multiple MLS Cup titles in the mid-2000s.
  • E. Richard Creedon
    Richard Creedon was a screenwriter best known for his work on Disney’s landmark animated feature film "Snow White and the Seven Dwarfs."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Neil Farrell
Triple: [Hamlet (1996 film), editedBy, Neil Farrell]
Generated description
Neil Farrell is a film editor best known for his work on Kenneth Branagh’s 1996 adaptation of Hamlet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neil Farrell
Target entity description: Neil Farrell is a film editor best known for his work on Kenneth Branagh’s 1996 adaptation of Hamlet.
  • A. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • B. Daniel Neeson
    Daniel Neeson is the son of acclaimed Irish actor Liam Neeson and his late wife, actress Natasha Richardson.
  • C. Dermot Crowley
    Dermot Crowley is an Irish actor best known for his role as DSU Martin Schenk in the British crime drama series "Luther."
  • D. Dominic Kinnear
    Dominic Kinnear is a Scottish-American soccer coach and former player best known for leading the Houston Dynamo to multiple MLS Cup titles in the mid-2000s.
  • E. Richard Creedon
    Richard Creedon was a screenwriter best known for his work on Disney’s landmark animated feature film "Snow White and the Seven Dwarfs."
  • F. None of above. chosen

Provenance (5 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f8ff548190b07505310e2bf0b9 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea888b5a881909b1f91562957388d completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aea9e4fd748190870fca46e6d2ea78 completed March 9, 2026, 11:07 a.m.
NED2 Entity disambiguation (via description) batch_69aeaa3f5afc8190af11862c52f35074 completed March 9, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:54 p.m.