Triple

T2119545
Position Surface form Disambiguated ID Type / Status
Subject Shalin Zulkifli E43886 entity
Predicate givenName P17 FINISHED
Object Shalin
Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
E237671 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: Shalin | Statement: [Shalin Zulkifli, givenName, Shalin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shalin
Context triple: [Shalin Zulkifli, givenName, Shalin]
  • A. Shadharwan
    Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Shivini
    Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
  • D. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • E. Seeman
    Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
  • 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: Shalin
Triple: [Shalin Zulkifli, givenName, Shalin]
Generated description
Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shalin
Target entity description: Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
  • A. Shadharwan
    Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Shivini
    Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
  • D. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • E. Seeman
    Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb32efb48190bcb99f30787a3a55 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5197259c8190bffbbb4abaaddfd0 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae532d39d8819097ae5826b42f92b2 completed March 9, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ae539f7f008190b5f9d15fb3d362d9 completed March 9, 2026, 4:59 a.m.
Created at: March 4, 2026, 7:44 p.m.