Triple

T20420160
Position Surface form Disambiguated ID Type / Status
Subject Doe or Die II E500826 entity
Predicate hasPart P35 FINISHED
Object Time to Answer
"Time to Answer" is a track from AZ's hip-hop album "Doe or Die II."
 E1429085 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: Time to Answer | Statement: [Doe or Die II, hasPart, Time to Answer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Time to Answer
Context triple: [Doe or Die II, hasPart, Time to Answer]
  • A. Time Limit
    "Time Limit" is a 1957 American courtroom drama film about a Korean War court-martial, noted for its psychological depth and for being one of Richard Basehart’s most acclaimed screen performances.
  • B. Waiting
    "Waiting" is an Indian drama film featuring Naseeruddin Shah that explores the emotional struggles of two strangers coping with their spouses in comas.
  • C. Waiting
    "Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
  • D. Waiting
    "Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
  • E. Waiting
    "Waiting" is a pop-punk song by American rock band Green Day, released as a single from their 2000 album "Warning."
  • 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: Time to Answer
Triple: [Doe or Die II, hasPart, Time to Answer]
Generated description
"Time to Answer" is a track from AZ's hip-hop album "Doe or Die II."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Time to Answer
Target entity description: "Time to Answer" is a track from AZ's hip-hop album "Doe or Die II."
  • A. Time Limit
    "Time Limit" is a 1957 American courtroom drama film about a Korean War court-martial, noted for its psychological depth and for being one of Richard Basehart’s most acclaimed screen performances.
  • B. Waiting
    "Waiting" is an Indian drama film featuring Naseeruddin Shah that explores the emotional struggles of two strangers coping with their spouses in comas.
  • C. Waiting
    "Waiting" is a pop-punk song by American rock band Green Day, released as a single from their 2000 album "Warning."
  • D. Waiting
    "Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
  • E. Waiting
    "Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba39f7081909358f1103a0f241c completed April 20, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b2c59a481908de9ca46fe4e8a9c completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a088017be588190ab94b8180e44ebf4 completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0880c45e1081908f439ade0c31a47e completed May 16, 2026, 2:35 p.m.
Created at: April 16, 2026, 11:30 a.m.