Triple

T14727980
Position Surface form Disambiguated ID Type / Status
Subject Write Me Back E345992 entity
Predicate producer P490 FINISHED
Object Bigg Makk
Bigg Makk is a music producer known for his work on the track "Write Me Back."
E1115310 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: Bigg Makk | Statement: [Write Me Back, producer, Bigg Makk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bigg Makk
Context triple: [Write Me Back, producer, Bigg Makk]
  • A. Makka Pakka
    Makka Pakka is a small, stone-loving character from the British children's television series "In the Night Garden..." known for washing faces and stacking rocks.
  • B. Rao Bika
    Rao Bika was a 15th-century Rajput prince of the Rathore clan who established and ruled the kingdom that became the city of Bikaner in present-day Rajasthan, India.
  • C. Maggu
    Maggu is a character from the Indian comic series "Chacha Chaudhary," known as one of the recurring goons who often clash with the protagonists.
  • D. Madhu Koda
    Madhu Koda is an Indian politician known for serving as an independent Chief Minister of Jharkhand and later facing high-profile corruption allegations.
  • E. Bimoba
    Bimoba are an ethnic group primarily inhabiting parts of northern Ghana and neighboring areas of Togo, known for their distinct language and cultural traditions.
  • 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: Bigg Makk
Triple: [Write Me Back, producer, Bigg Makk]
Generated description
Bigg Makk is a music producer known for his work on the track "Write Me Back."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bigg Makk
Target entity description: Bigg Makk is a music producer known for his work on the track "Write Me Back."
  • A. Makka Pakka
    Makka Pakka is a small, stone-loving character from the British children's television series "In the Night Garden..." known for washing faces and stacking rocks.
  • B. Rao Bika
    Rao Bika was a 15th-century Rajput prince of the Rathore clan who established and ruled the kingdom that became the city of Bikaner in present-day Rajasthan, India.
  • C. Maggu
    Maggu is a character from the Indian comic series "Chacha Chaudhary," known as one of the recurring goons who often clash with the protagonists.
  • D. Madhu Koda
    Madhu Koda is an Indian politician known for serving as an independent Chief Minister of Jharkhand and later facing high-profile corruption allegations.
  • E. Bimoba
    Bimoba are an ethnic group primarily inhabiting parts of northern Ghana and neighboring areas of Togo, known for their distinct language and cultural traditions.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26179688190ba9f3cd045da0e2a completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf099eaf48190b89032b6ac769e67 completed May 8, 2026, 2:18 p.m.
NEDg Description generation batch_69fdf20f3f0c81909052226a1fb8f165 completed May 8, 2026, 2:24 p.m.
NED2 Entity disambiguation (via description) batch_69fdf30dab20819085589da4e869fb7e completed May 8, 2026, 2:28 p.m.
Created at: April 10, 2026, 1:29 a.m.