Triple

T15494109
Position Surface form Disambiguated ID Type / Status
Subject Step Up 3D E378768 entity
Predicate castMember P1668 FINISHED
Object Oren Michaeli
Oren Michaeli is an actor known for appearing in the dance film "Step Up 3D."
E1183886 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: Oren Michaeli | Statement: [Step Up 3D, castMember, Oren Michaeli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oren Michaeli
Context triple: [Step Up 3D, castMember, Oren Michaeli]
  • A. Oren Aviv
    Oren Aviv is an American film executive and producer known for his work on major Hollywood projects, including contributing to the story for the action-adventure film "National Treasure."
  • B. Doron Peled
    Doron Peled is a computer scientist known for his contributions to formal methods and model checking, particularly in collaboration with Edmund M. Clarke.
  • C. Avi Nesher
    Avi Nesher is an acclaimed Israeli film director, screenwriter, and producer known for influential works in both Israeli and international cinema.
  • D. Uriel Feige
    Uriel Feige is an Israeli computer scientist known for his influential work in computational complexity theory, approximation algorithms, and probabilistically checkable proofs.
  • E. Haim Oron
    Haim Oron is an Israeli politician and peace activist who led the left-wing Meretz party and served for many years as a member of the Knesset.
  • 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: Oren Michaeli
Triple: [Step Up 3D, castMember, Oren Michaeli]
Generated description
Oren Michaeli is an actor known for appearing in the dance film "Step Up 3D."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oren Michaeli
Target entity description: Oren Michaeli is an actor known for appearing in the dance film "Step Up 3D."
  • A. Oren Aviv
    Oren Aviv is an American film executive and producer known for his work on major Hollywood projects, including contributing to the story for the action-adventure film "National Treasure."
  • B. Doron Peled
    Doron Peled is a computer scientist known for his contributions to formal methods and model checking, particularly in collaboration with Edmund M. Clarke.
  • C. Avi Nesher
    Avi Nesher is an acclaimed Israeli film director, screenwriter, and producer known for influential works in both Israeli and international cinema.
  • D. Uriel Feige
    Uriel Feige is an Israeli computer scientist known for his influential work in computational complexity theory, approximation algorithms, and probabilistically checkable proofs.
  • E. Haim Oron
    Haim Oron is an Israeli politician and peace activist who led the left-wing Meretz party and served for many years as a member of the Knesset.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb593258081909dcaf2b37fd28e63 completed May 9, 2026, 10:30 p.m.
NEDg Description generation batch_69ffb6945aec8190a2295e497f6c7cf3 completed May 9, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffb70b8a3081909ee116014e47a757 completed May 9, 2026, 10:36 p.m.
Created at: April 10, 2026, 3:49 a.m.