Triple

T15616623
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Howe E375429 entity
Predicate romanticInterest P7325 FINISHED
Object Robin Colcord
Robin Colcord is a wealthy British businessman and recurring love interest on the TV sitcom "Cheers."
E1169243 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: Robin Colcord | Statement: [Rebecca Howe, romanticInterest, Robin Colcord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Colcord
Context triple: [Rebecca Howe, romanticInterest, Robin Colcord]
  • A. Robin Driscoll
    Robin Driscoll is a British comedy writer and actor best known for co-writing and shaping the character and television series of Mr. Bean.
  • B. Robin Dixon
    Robin Dixon is known primarily as the child of Marcus Dixon.
  • C. Robin Buckley
    Robin Buckley is a witty, sharp-tongued Hawkins teen and Steve Harrington’s close friend who works with him at Scoops Ahoy and later helps uncover sinister mysteries in the series Stranger Things.
  • D. Cal Weaver
    Cal Weaver is a middle-aged suburban man whose life is upended by his wife's infidelity, leading him into an awkward yet transformative journey through modern dating in the romantic comedy film "Crazy, Stupid, Love."
  • E. Robin Brims
    Robin Brims is a retired British Army lieutenant general known for his senior command roles during the Iraq War and other major UK military operations.
  • 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: Robin Colcord
Triple: [Rebecca Howe, romanticInterest, Robin Colcord]
Generated description
Robin Colcord is a wealthy British businessman and recurring love interest on the TV sitcom "Cheers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robin Colcord
Target entity description: Robin Colcord is a wealthy British businessman and recurring love interest on the TV sitcom "Cheers."
  • A. Robin Driscoll
    Robin Driscoll is a British comedy writer and actor best known for co-writing and shaping the character and television series of Mr. Bean.
  • B. Robin Dixon
    Robin Dixon is known primarily as the child of Marcus Dixon.
  • C. Robin Buckley
    Robin Buckley is a witty, sharp-tongued Hawkins teen and Steve Harrington’s close friend who works with him at Scoops Ahoy and later helps uncover sinister mysteries in the series Stranger Things.
  • D. Cal Weaver
    Cal Weaver is a middle-aged suburban man whose life is upended by his wife's infidelity, leading him into an awkward yet transformative journey through modern dating in the romantic comedy film "Crazy, Stupid, Love."
  • E. Robin Brims
    Robin Brims is a retired British Army lieutenant general known for his senior command roles during the Iraq War and other major UK military operations.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678a9fac81908030726054ff5a99 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff6883b5048190b64e4361bc89dd80 completed May 9, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff6911a76c819088c8a86d2106b6c6 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:13 a.m.