Triple

T4245994
Position Surface form Disambiguated ID Type / Status
Subject Dilemma E95528 entity
Predicate producer P490 FINISHED
Object Bam
Bam is a music producer known for working on the track "Dilemma."
 E424034 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: Bam | Statement: [Dilemma, producer, Bam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bam
Context triple: [Dilemma, producer, Bam]
  • A. Baka
    Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
  • B. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • C. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • D. Beng
    Beng is the ISO 15924 four-letter code that designates the Bengali script used for writing the Bengali language and several other languages of the Indian subcontinent.
  • E. Bai
    The Bai are an ethnic minority group in China known for their distinct language, traditional architecture, and rich cultural heritage centered around the Dali region of Yunnan.
  • 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: Bam
Triple: [Dilemma, producer, Bam]
Generated description
Bam is a music producer known for working on the track "Dilemma."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bam
Target entity description: Bam is a music producer known for working on the track "Dilemma."
  • A. Baka
    Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
  • B. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • C. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • D. Beng
    Beng is the ISO 15924 four-letter code that designates the Bengali script used for writing the Bengali language and several other languages of the Indian subcontinent.
  • E. Bai
    The Bai are an ethnic minority group in China known for their distinct language, traditional architecture, and rich cultural heritage centered around the Dali region of Yunnan.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8db5bc8190873c5ae3753aaa58 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87993648190b2969505cdf3c554 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a966f154819083f7864b154f7518 completed March 14, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69b5aa0ed71c81908d9bf530b4557984 completed March 14, 2026, 6:33 p.m.
Created at: March 12, 2026, 11:05 p.m.