Triple

T4626497
Position Surface form Disambiguated ID Type / Status
Subject In the Mix E101109 entity
Predicate mainCharacter P1183 FINISHED
Object Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
 E457489 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: Darrell | Statement: [In the Mix, mainCharacter, Darrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Darrell
Context triple: [In the Mix, mainCharacter, Darrell]
  • A. Darryl
    Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
  • B. Darren
    Darren is a masculine given name commonly used in English-speaking countries.
  • C. Darren
    Darren is a fictional continent located on the planet Skaro in the Doctor Who universe.
  • D. Daryl
    Daryl is a given name commonly used for people of any gender, notably borne by figures in sports, entertainment, and public life.
  • E. Derrick
    Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
  • 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: Darrell
Triple: [In the Mix, mainCharacter, Darrell]
Generated description
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Darrell
Target entity description: Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
  • A. Darryl
    Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
  • B. Darren
    Darren is a masculine given name commonly used in English-speaking countries.
  • C. Darren
    Darren is a fictional continent located on the planet Skaro in the Doctor Who universe.
  • D. Daryl
    Daryl is a given name commonly used for people of any gender, notably borne by figures in sports, entertainment, and public life.
  • E. Derrick
    Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaab30508190881828adab92ba22 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb56021081909b23d22770bf3c88 completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbf15f1481908b76bcdd37ebd4ce completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:13 p.m.