Triple

T15122389
Position Surface form Disambiguated ID Type / Status
Subject Never Say Never E361199 entity
Predicate editedBy P1954 FINISHED
Object Alyse Ardell Spiegel
Alyse Ardell Spiegel is a film editor known for her work on the movie "Never Say Never."
E1137790 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: Alyse Ardell Spiegel | Statement: [Never Say Never, editedBy, Alyse Ardell Spiegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alyse Ardell Spiegel
Context triple: [Never Say Never, editedBy, Alyse Ardell Spiegel]
  • A. Alyssa Nassner
    Alyssa Nassner is an illustrator and designer known for her colorful, playful artwork featured on book covers and various print and digital media.
  • B. Katherine Spiegel
    Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
  • C. Elyse Goldstein
    Elyse Goldstein is a Canadian Reform rabbi, feminist, and educator known for her leadership in Jewish learning and advocacy for gender equality in Judaism.
  • D. Leah Schlossberg
    Leah Schlossberg, later known as Leah Rabin, was the wife of Israeli Prime Minister Yitzhak Rabin and an influential public figure and peace advocate in Israel.
  • E. Jessica Tuchinsky
    Jessica Tuchinsky is a television and film producer known for her executive production work on the miniseries adaptation of John Green's novel "Looking for Alaska."
  • 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: Alyse Ardell Spiegel
Triple: [Never Say Never, editedBy, Alyse Ardell Spiegel]
Generated description
Alyse Ardell Spiegel is a film editor known for her work on the movie "Never Say Never."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alyse Ardell Spiegel
Target entity description: Alyse Ardell Spiegel is a film editor known for her work on the movie "Never Say Never."
  • A. Alyssa Nassner
    Alyssa Nassner is an illustrator and designer known for her colorful, playful artwork featured on book covers and various print and digital media.
  • B. Katherine Spiegel
    Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
  • C. Elyse Goldstein
    Elyse Goldstein is a Canadian Reform rabbi, feminist, and educator known for her leadership in Jewish learning and advocacy for gender equality in Judaism.
  • D. Leah Schlossberg
    Leah Schlossberg, later known as Leah Rabin, was the wife of Israeli Prime Minister Yitzhak Rabin and an influential public figure and peace advocate in Israel.
  • E. Jessica Tuchinsky
    Jessica Tuchinsky is a television and film producer known for her executive production work on the miniseries adaptation of John Green's novel "Looking for Alaska."
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059f69a881909929a037a0eef702 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f4abd08190b47c9daff2921919 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb8bb774481908272929358817440 completed May 9, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69feb9384b4c81909fe80dec3abc1659 completed May 9, 2026, 4:34 a.m.
Created at: April 10, 2026, 3:06 a.m.