Triple

T11345542
Position Surface form Disambiguated ID Type / Status
Subject Mandy Patinkin E268702 entity
Predicate givenName P17 FINISHED
Object Mandel
Mandel is the given first name of American actor and singer Mandy Patinkin, known for his work in film, television, and musical theater.
E920025 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: Mandel | Statement: [Mandy Patinkin, givenName, Mandel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandel
Context triple: [Mandy Patinkin, givenName, Mandel]
  • A. Mandel
    Mandel is known primarily as the spouse of Nero, the infamous Roman emperor.
  • B. Manda
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • C. Mandulis
    Mandulis is a Nubian sun god venerated in the region of Lower Nubia, particularly during the Greco-Roman period.
  • D. Menger
    Menger is a surname most notably associated with Austrian mathematician Karl Menger, known for his work in topology, dimension theory, and the foundations of geometry.
  • E. Manziana
    Manziana is a small town in the Lazio region of central Italy, northwest of Rome, known for its wooded nature reserve and volcanic landscape.
  • 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: Mandel
Triple: [Mandy Patinkin, givenName, Mandel]
Generated description
Mandel is the given first name of American actor and singer Mandy Patinkin, known for his work in film, television, and musical theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mandel
Target entity description: Mandel is the given first name of American actor and singer Mandy Patinkin, known for his work in film, television, and musical theater.
  • A. Mandel
    Mandel is known primarily as the spouse of Nero, the infamous Roman emperor.
  • B. Manda
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • C. Mandulis
    Mandulis is a Nubian sun god venerated in the region of Lower Nubia, particularly during the Greco-Roman period.
  • D. Menger
    Menger is a surname most notably associated with Austrian mathematician Karl Menger, known for his work in topology, dimension theory, and the foundations of geometry.
  • E. Manziana
    Manziana is a small town in the Lazio region of central Italy, northwest of Rome, known for its wooded nature reserve and volcanic landscape.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5436e9d848190a7e585351d24df03 completed April 19, 2026, 9:04 p.m.
NEDg Description generation batch_69e5474b77948190b2c45831871383e8 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eeba4a88190af128a99c277853a completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.