Triple

T14891445
Position Surface form Disambiguated ID Type / Status
Subject Ran E359761 entity
Predicate castMember P1668 FINISHED
Object Pîtā
Pîtā is an actor known for appearing in the Japanese film "Ran," Akira Kurosawa’s acclaimed 1985 epic.
 E1124680 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: Pîtā | Statement: [Ran, castMember, Pîtā]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pîtā
Context triple: [Ran, castMember, Pîtā]
  • A. Palas
    Palas is the main residential and ceremonial building within Nuremberg Castle, historically used as the living quarters and audience hall of the ruling nobility.
  • B. Palas
    Palas is a remote valley and settlement in Pakistan’s Kohistan region, known for its rugged terrain, rich biodiversity, and traditional mountain communities.
  • C. Patuone
    Patuone was a prominent 19th-century Ngāpuhi rangatira (chief) and peacemaker who played a key role in early Māori–Pākehā relations and the signing of the Treaty of Waitangi.
  • D. Pitiüses
    The Pitiüses are a small Mediterranean archipelago comprising the Spanish Balearic Islands of Ibiza and Formentera and their surrounding islets.
  • E. Piopio
    Piopio is a small rural township in New Zealand’s King Country region, known for its farming community and scenic surroundings.
  • 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: Pîtā
Triple: [Ran, castMember, Pîtā]
Generated description
Pîtā is an actor known for appearing in the Japanese film "Ran," Akira Kurosawa’s acclaimed 1985 epic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pîtā
Target entity description: Pîtā is an actor known for appearing in the Japanese film "Ran," Akira Kurosawa’s acclaimed 1985 epic.
  • A. Palas
    Palas is the main residential and ceremonial building within Nuremberg Castle, historically used as the living quarters and audience hall of the ruling nobility.
  • B. Palas
    Palas is a remote valley and settlement in Pakistan’s Kohistan region, known for its rugged terrain, rich biodiversity, and traditional mountain communities.
  • C. Patuone
    Patuone was a prominent 19th-century Ngāpuhi rangatira (chief) and peacemaker who played a key role in early Māori–Pākehā relations and the signing of the Treaty of Waitangi.
  • D. Pitiüses
    The Pitiüses are a small Mediterranean archipelago comprising the Spanish Balearic Islands of Ibiza and Formentera and their surrounding islets.
  • E. Piopio
    Piopio is a small rural township in New Zealand’s King Country region, known for its farming community and scenic surroundings.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f883288190af602633fa7d6860 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b65ac5c81908691de1161d07de0 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c68c46881909e7c748c0dff73d5 completed May 8, 2026, 11:06 p.m.
NED2 Entity disambiguation (via description) batch_69fe6d1eea60819087ca2ebc7d0a8994 completed May 8, 2026, 11:09 p.m.
Created at: April 10, 2026, 2:10 a.m.