Triple

T11328851
Position Surface form Disambiguated ID Type / Status
Subject The Prince of Egypt E268292 entity
Predicate producer P490 FINISHED
Object Sandra Rabins
Sandra Rabins is a film producer best known for her work on the animated feature "The Prince of Egypt."
 E943155 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: Sandra Rabins | Statement: [The Prince of Egypt, producer, Sandra Rabins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sandra Rabins
Context triple: [The Prince of Egypt, producer, Sandra Rabins]
  • A. Sandra Levy
    Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
  • B. Sandra Newman
    Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
  • C. Susan Kobrin
    Susan Kobrin is known as the spouse of American social psychologist Ed O’Brien.
  • D. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • E. Sandra Payne
    Sandra Payne is a British actress known for her work in film and television, and for her former marriage to lyricist Alan Jay Lerner.
  • 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: Sandra Rabins
Triple: [The Prince of Egypt, producer, Sandra Rabins]
Generated description
Sandra Rabins is a film producer best known for her work on the animated feature "The Prince of Egypt."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sandra Rabins
Target entity description: Sandra Rabins is a film producer best known for her work on the animated feature "The Prince of Egypt."
  • A. Sandra Levy
    Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
  • B. Sandra Newman
    Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
  • C. Susan Kobrin
    Susan Kobrin is known as the spouse of American social psychologist Ed O’Brien.
  • D. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • E. Sandra Payne
    Sandra Payne is a British actress known for her work in film and television, and for her former marriage to lyricist Alan Jay Lerner.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f01869e6c8819093f2768b57b183aa completed April 28, 2026, 2:16 a.m.
NEDg Description generation batch_69f0319271788190a105828ae7582668 completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05a44dcb88190a0bb57b0c8fef6b9 completed April 28, 2026, 6:57 a.m.
Created at: April 8, 2026, 9:32 p.m.