Triple

T7334577
Position Surface form Disambiguated ID Type / Status
Subject Jason Lewis E169092 entity
Predicate spouse P13 FINISHED
Object Liz Godwin (fiancée)
Liz Godwin is the fiancée of American actor and former model Jason Lewis.
E657771 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: Liz Godwin (fiancée) | Statement: [Jason Lewis, spouse, Liz Godwin (fiancée)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liz Godwin (fiancée)
Context triple: [Jason Lewis, spouse, Liz Godwin (fiancée)]
  • A. Liza Marshall
    Liza Marshall is a British film and television producer known for her work on projects such as "Before I Go to Sleep" and "Temple."
  • B. Steffie Gladney
    Steffie Gladney is a character in Don DeLillo’s novel "White Noise," known as one of Jack Gladney’s children whose small, poignant moments often underscore the book’s themes of language, fear, and modern anxiety.
  • C. Liza Elliott
    Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
  • D. Lindsay Ford
    Lindsay Ford is an individual known primarily in relation to Karla Saaranen, about whom limited public information is available.
  • E. Liza Todd
    Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
  • 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: Liz Godwin (fiancée)
Triple: [Jason Lewis, spouse, Liz Godwin (fiancée)]
Generated description
Liz Godwin is the fiancée of American actor and former model Jason Lewis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liz Godwin (fiancée)
Target entity description: Liz Godwin is the fiancée of American actor and former model Jason Lewis.
  • A. Liza Marshall
    Liza Marshall is a British film and television producer known for her work on projects such as "Before I Go to Sleep" and "Temple."
  • B. Steffie Gladney
    Steffie Gladney is a character in Don DeLillo’s novel "White Noise," known as one of Jack Gladney’s children whose small, poignant moments often underscore the book’s themes of language, fear, and modern anxiety.
  • C. Liza Elliott
    Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
  • D. Lindsay Ford
    Lindsay Ford is an individual known primarily in relation to Karla Saaranen, about whom limited public information is available.
  • E. Liza Todd
    Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c25758819095aa5041c6ecff07 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef1eb370819081a4c6e75ceaf2eb completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7f2e1517c8190bb08530c299ab34a completed March 28, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_69c7f3ae2a18819093ef606b32266fde completed March 28, 2026, 3:28 p.m.
Created at: March 27, 2026, 3:04 p.m.