Triple

T15960676
Position Surface form Disambiguated ID Type / Status
Subject Juan Luna E387049 entity
Predicate notableWork P4 FINISHED
Object Tampuhan
Tampuhan is a famous 1895 oil painting by Filipino artist Juan Luna depicting a sulking couple in a traditional Filipino setting, often interpreted as a reflection of romantic misunderstanding and emotional distance.
 E1186988 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: Tampuhan | Statement: [Juan Luna, notableWork, Tampuhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tampuhan
Context triple: [Juan Luna, notableWork, Tampuhan]
  • A. Saji
    Saji is a short form or nickname derived from the given name Sajida.
  • B. Tumpat
    Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
  • C. Dapchi
    Dapchi is a town in northeastern Nigeria known internationally as the site of the 2018 abduction of schoolgirls by Boko Haram.
  • D. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • E. Dashi
    Dashi is a metro station on Guangzhou's Line 7 serving the Panyu District area of Guangzhou, China.
  • 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: Tampuhan
Triple: [Juan Luna, notableWork, Tampuhan]
Generated description
Tampuhan is a famous 1895 oil painting by Filipino artist Juan Luna depicting a sulking couple in a traditional Filipino setting, often interpreted as a reflection of romantic misunderstanding and emotional distance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tampuhan
Target entity description: Tampuhan is a famous 1895 oil painting by Filipino artist Juan Luna depicting a sulking couple in a traditional Filipino setting, often interpreted as a reflection of romantic misunderstanding and emotional distance.
  • A. Saji
    Saji is a short form or nickname derived from the given name Sajida.
  • B. Tumpat
    Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
  • C. Dapchi
    Dapchi is a town in northeastern Nigeria known internationally as the site of the 2018 abduction of schoolgirls by Boko Haram.
  • D. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • E. Dashi
    Dashi is a metro station on Guangzhou's Line 7 serving the Panyu District area of Guangzhou, China.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ff4cdc81908db31394eaa191bc completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe827d248190adbfd41f55638ebd completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbffcbd748190a666eca28cf44ad5 completed May 9, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_69ffc09df25481908674f306b0f96f95 completed May 9, 2026, 11:17 p.m.
Created at: April 10, 2026, 4:53 a.m.