Triple

T9825891
Position Surface form Disambiguated ID Type / Status
Subject Dede Allen E238651 entity
Predicate nickname P55 FINISHED
Object Dede
Dede is the commonly used name of Dede Allen, a pioneering American film editor known for her influential work on movies such as "Bonnie and Clyde" and "Dog Day Afternoon."
 E823746 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: Dede | Statement: [Dede Allen, nickname, Dede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dede
Context triple: [Dede Allen, nickname, Dede]
  • A. Dede Tate
    Dede Tate is a central character in the film "Little Man Tate," portrayed as the caring but overwhelmed single mother of a child prodigy.
  • B. Dededo
    Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
  • C. Dedebaba
    Dedebaba is the supreme spiritual leader of the Bektashi Sufi order, overseeing its religious guidance and organizational affairs.
  • D. Deddeh
    Deddeh is a town located in the Koura District of northern Lebanon, known for its agricultural surroundings and traditional village character.
  • E. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • 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: Dede
Triple: [Dede Allen, nickname, Dede]
Generated description
Dede is the commonly used name of Dede Allen, a pioneering American film editor known for her influential work on movies such as "Bonnie and Clyde" and "Dog Day Afternoon."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dede
Target entity description: Dede is the commonly used name of Dede Allen, a pioneering American film editor known for her influential work on movies such as "Bonnie and Clyde" and "Dog Day Afternoon."
  • A. Dede Tate
    Dede Tate is a central character in the film "Little Man Tate," portrayed as the caring but overwhelmed single mother of a child prodigy.
  • B. Dededo
    Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
  • C. Dedebaba
    Dedebaba is the supreme spiritual leader of the Bektashi Sufi order, overseeing its religious guidance and organizational affairs.
  • D. Deddeh
    Deddeh is a town located in the Koura District of northern Lebanon, known for its agricultural surroundings and traditional village character.
  • E. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb32370e8819087c85fb8328587be completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc84b0a481909000a0f04e3676d0 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1ccf59c68819082b4aa37e06d2aaf completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0d945d48190b56b7fd2ce568a13 completed April 5, 2026, 3:02 a.m.
Created at: March 30, 2026, 8:31 p.m.