Triple

T12869208
Position Surface form Disambiguated ID Type / Status
Subject Monkey Man E307802 entity
Predicate stars P1956 FINISHED
Object Pitobash
Pitobash is an Indian actor known for his versatile character roles in Hindi cinema and international projects.
 E1007734 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: Pitobash | Statement: [Monkey Man, stars, Pitobash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pitobash
Context triple: [Monkey Man, stars, Pitobash]
  • A. Podoboos
    Podoboos are recurring fireball enemies in the Super Mario video game series that leap from lava, often serving as hazards in Bowser’s Castle stages.
  • B. Pugo
    Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
  • C. Shapshu
    Shapshu is a Canaanite sun goddess associated with light, justice, and the guidance of gods and souls in ancient Near Eastern mythology.
  • D. Pitmatic
    Pitmatic is a traditional English dialect associated with coal-mining communities in Northumberland and Durham, characterized by its unique vocabulary and pronunciation.
  • E. Babo
    Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • 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: Pitobash
Triple: [Monkey Man, stars, Pitobash]
Generated description
Pitobash is an Indian actor known for his versatile character roles in Hindi cinema and international projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pitobash
Target entity description: Pitobash is an Indian actor known for his versatile character roles in Hindi cinema and international projects.
  • A. Podoboos
    Podoboos are recurring fireball enemies in the Super Mario video game series that leap from lava, often serving as hazards in Bowser’s Castle stages.
  • B. Pugo
    Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
  • C. Shapshu
    Shapshu is a Canaanite sun goddess associated with light, justice, and the guidance of gods and souls in ancient Near Eastern mythology.
  • D. Pitmatic
    Pitmatic is a traditional English dialect associated with coal-mining communities in Northumberland and Durham, characterized by its unique vocabulary and pronunciation.
  • E. Babo
    Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69df1032881909255e506ddfd9c9f completed May 3, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69f69ea645a0819095edc112b9ed9bff completed May 3, 2026, 1:02 a.m.
Created at: April 9, 2026, 5:38 p.m.