Triple

T5461538
Position Surface form Disambiguated ID Type / Status
Subject Sassi Punnun E122604 entity
Predicate hasMainCharacter P1183 FINISHED
Object Punnun
Punnun is a legendary prince and tragic lover from the Sindhi and Balochi folktale "Sassi Punnun," renowned for his doomed romance with Sassi.
E520112 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: Punnun | Statement: [Sassi Punnun, hasMainCharacter, Punnun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punnun
Context triple: [Sassi Punnun, hasMainCharacter, Punnun]
  • A. Punilla
    Punilla is a province in Chile’s Ñuble Region, known for its predominantly rural character and agricultural activities.
  • B. Punasa
    Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
  • C. Punpun
    Punpun is a small river in the Indian state of Bihar that flows past Patna and ultimately joins the Ganges.
  • D. Püünsi
    Püünsi is a small village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
  • E. Poronin
    Poronin is a village in southern Poland’s Tatra region, known as a gateway to the Tatra Mountains and a base for tourism near Zakopane.
  • 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: Punnun
Triple: [Sassi Punnun, hasMainCharacter, Punnun]
Generated description
Punnun is a legendary prince and tragic lover from the Sindhi and Balochi folktale "Sassi Punnun," renowned for his doomed romance with Sassi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Punnun
Target entity description: Punnun is a legendary prince and tragic lover from the Sindhi and Balochi folktale "Sassi Punnun," renowned for his doomed romance with Sassi.
  • A. Punilla
    Punilla is a province in Chile’s Ñuble Region, known for its predominantly rural character and agricultural activities.
  • B. Punasa
    Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
  • C. Punpun
    Punpun is a small river in the Indian state of Bihar that flows past Patna and ultimately joins the Ganges.
  • D. Püünsi
    Püünsi is a small village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
  • E. Poronin
    Poronin is a village in southern Poland’s Tatra region, known as a gateway to the Tatra Mountains and a base for tourism near Zakopane.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9201dbfc8190bea22d6ecbc25b3e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414ebd288190ae90593232ff2db9 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41dd96448190973b7241df5dbb24 completed March 22, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf42badcf08190b451b148d08e996e completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:08 p.m.