Triple

T5530961
Position Surface form Disambiguated ID Type / Status
Subject Mardi E145045 entity
Predicate hasCharacter P2308 FINISHED
Object Taji
Taji is a central character in Herman Melville’s philosophical romance "Mardi," serving as the narrator and guide through its allegorical island world.
 E529003 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: Taji | Statement: [Mardi, hasCharacter, Taji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taji
Context triple: [Mardi, hasCharacter, Taji]
  • A. Al-Ouja
    Al-Ouja is a village near Tikrit in Iraq, best known as the birthplace of former Iraqi president Saddam Hussein.
  • B. Tanta
    Tanta is a major city in northern Egypt that serves as an important commercial and transportation hub in the Nile Delta.
  • C. Tanta
    Tanta is a small Andean town in Peru known for its high-altitude landscapes and traditional rural life within the Nor Yauyos-Cochas scenic reserve.
  • D. Ghanayem
    Ghanayem is a city in Egypt’s Asyut Governorate, known as one of the region’s principal urban centers.
  • E. Mansouriya
    Mansouriya is a residential district in Kuwait City known for its central location within the Al Asimah Governorate.
  • 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: Taji
Triple: [Mardi, hasCharacter, Taji]
Generated description
Taji is a central character in Herman Melville’s philosophical romance "Mardi," serving as the narrator and guide through its allegorical island world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taji
Target entity description: Taji is a central character in Herman Melville’s philosophical romance "Mardi," serving as the narrator and guide through its allegorical island world.
  • A. Al-Ouja
    Al-Ouja is a village near Tikrit in Iraq, best known as the birthplace of former Iraqi president Saddam Hussein.
  • B. Tanta
    Tanta is a major city in northern Egypt that serves as an important commercial and transportation hub in the Nile Delta.
  • C. Tanta
    Tanta is a small Andean town in Peru known for its high-altitude landscapes and traditional rural life within the Nor Yauyos-Cochas scenic reserve.
  • D. Ghanayem
    Ghanayem is a city in Egypt’s Asyut Governorate, known as one of the region’s principal urban centers.
  • E. Mansouriya
    Mansouriya is a residential district in Kuwait City known for its central location within the Al Asimah Governorate.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9b59bc8190a8758b3be54831e9 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02805a174819096cd16f2c1ef2eb1 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c033ddc7148190ba64ebfc2472c367 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c036725fc481908ab0e260892d8243 completed March 22, 2026, 6:35 p.m.
Created at: March 22, 2026, 3:34 p.m.