Triple

T14290745
Position Surface form Disambiguated ID Type / Status
Subject Ryan Hurst E354302 entity
Predicate spouse P13 FINISHED
Object Molly Cookson
Molly Cookson is an American actress and production manager known for her work in independent films and for being married to actor Ryan Hurst.
E1115453 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: Molly Cookson | Statement: [Ryan Hurst, spouse, Molly Cookson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molly Cookson
Context triple: [Ryan Hurst, spouse, Molly Cookson]
  • A. Molly Downtain
    Molly Downtain is a soccer executive who serves as the general manager of the National Women's Soccer League club San Diego Wave FC.
  • B. Molly Hassell
    Molly Hassell is a film producer known for her work on the comedy film "The Little Hours."
  • C. Molly McCauley
    Molly McCauley, better known as Molly Pitcher, is a legendary figure of the American Revolutionary War celebrated for taking her husband's place at a cannon during the Battle of Monmouth.
  • D. Molly Cregg
    Molly Cregg is a minor character in the television series "The West Wing," known as the young niece of White House Press Secretary C. J. Cregg.
  • E. Tamsin Cook
    Tamsin Cook is an Australian competitive swimmer known for representing Australia in international freestyle events, including the Olympic Games.
  • 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: Molly Cookson
Triple: [Ryan Hurst, spouse, Molly Cookson]
Generated description
Molly Cookson is an American actress and production manager known for her work in independent films and for being married to actor Ryan Hurst.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Molly Cookson
Target entity description: Molly Cookson is an American actress and production manager known for her work in independent films and for being married to actor Ryan Hurst.
  • A. Molly Downtain
    Molly Downtain is a soccer executive who serves as the general manager of the National Women's Soccer League club San Diego Wave FC.
  • B. Molly Hassell
    Molly Hassell is a film producer known for her work on the comedy film "The Little Hours."
  • C. Molly McCauley
    Molly McCauley, better known as Molly Pitcher, is a legendary figure of the American Revolutionary War celebrated for taking her husband's place at a cannon during the Battle of Monmouth.
  • D. Molly Cregg
    Molly Cregg is a minor character in the television series "The West Wing," known as the young niece of White House Press Secretary C. J. Cregg.
  • E. Tamsin Cook
    Tamsin Cook is an Australian competitive swimmer known for representing Australia in international freestyle events, including the Olympic Games.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06f22148190a750a012397b2c68 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf3a3f3088190bc1df18f81edea12 completed May 8, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_69fdf4144f4c8190b5a865cda5d17809 completed May 8, 2026, 2:32 p.m.
Created at: April 10, 2026, 1:11 a.m.