Triple

T14619082
Position Surface form Disambiguated ID Type / Status
Subject Darren E343168 entity
Predicate hasShortForm P43 FINISHED
Object Daz
Daz is a common nickname or short form of the given name Darren, often used informally in English-speaking countries.
 E1110834 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: Daz | Statement: [Darren, hasShortForm, Daz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daz
Context triple: [Darren, hasShortForm, Daz]
  • A. Dazimon
    Dazimon was a strategic site in eastern Anatolia that served as the battlefield for a major 9th-century clash between the Byzantine Empire and the Abbasid Caliphate.
  • B. Zwan
    Zwan was a short-lived early-2000s alternative rock supergroup formed by Smashing Pumpkins frontman Billy Corgan.
  • C. Dale
    Dale is a rebuilt human city in northern Middle-earth, located near the Lonely Mountain, that serves as a key setting in J.R.R. Tolkien’s legendarium and its film adaptations.
  • D. Dale
    Dale is a coastal village in Pembrokeshire, Wales, known for its sheltered bay, sailing, and watersports.
  • E. Dale
    Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
  • 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: Daz
Triple: [Darren, hasShortForm, Daz]
Generated description
Daz is a common nickname or short form of the given name Darren, often used informally in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daz
Target entity description: Daz is a common nickname or short form of the given name Darren, often used informally in English-speaking countries.
  • A. Dazimon
    Dazimon was a strategic site in eastern Anatolia that served as the battlefield for a major 9th-century clash between the Byzantine Empire and the Abbasid Caliphate.
  • B. Zwan
    Zwan was a short-lived early-2000s alternative rock supergroup formed by Smashing Pumpkins frontman Billy Corgan.
  • C. Dale
    Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
  • D. Dale
    Dale is a rebuilt human city in northern Middle-earth, located near the Lonely Mountain, that serves as a key setting in J.R.R. Tolkien’s legendarium and its film adaptations.
  • E. Dale
    Dale is a coastal village in Pembrokeshire, Wales, known for its sheltered bay, sailing, and watersports.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda924c7308190931c03fbac57b0bf completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb234bc1c8190a85c802dfcfa7909 completed May 8, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69fdb36bd50c8190a8af992fe4b12bb6 completed May 8, 2026, 9:57 a.m.
Created at: April 10, 2026, 1:25 a.m.