Triple

T37011179
Position Surface form Disambiguated ID Type / Status
Subject Tuck Hansen E915949 entity
Predicate competesForLoveInterest P115860 FINISHED
Object Lauren Scott
Lauren Scott is a central love interest character around whom romantic competition develops, notably involving Tuck Hansen.
 E913252 NE FINISHED

How this triple was built (3 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: Lauren Scott | Statement: [Tuck Hansen, competesForLoveInterest, Lauren Scott]
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: Lauren Scott
Triple: [Tuck Hansen, competesForLoveInterest, Lauren Scott]
Generated description
Lauren Scott is a central love interest character around whom romantic competition develops, notably involving Tuck Hansen.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: competesForLoveInterest
Context triple: [Tuck Hansen, competesForLoveInterest, Lauren Scott]
  • A. romanticRivalryWith chosen
    Indicates a mutual competitive relationship in which two entities vie for the romantic attention or affection of the same person.
  • B. loveInterestPortrayedBy
    Indicates that a character’s romantic interest is depicted or played by a particular actor or performer.
  • C. loveInterest
    Indicates that one entity is the romantic object of affection or attraction for another entity.
  • D. competesForAffectionWith
    Indicates a relationship where two or more entities vie against each other to gain the affection or emotional favor of the same target entity.
  • E. hasFictionalRomanticInterest
    Indicates that one entity is portrayed as having a romantic attraction or interest toward another entity within a fictional context.
  • F. None of above.

Provenance (6 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_69f76e90ed548190b187d2475f5c807d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd3d46d1f48190a1b20dd063224b7d completed May 8, 2026, 1:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c317ce081909e593f3a8cb51cc8 completed June 26, 2026, 2:26 p.m.
NEDg Description generation batch_6a3e9d9b74d08190974bbd1d195cd4c9 completed June 26, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_6a3ecb788c0081908aeb890d3c5a3625 completed June 26, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69fd3ae1510c81908fe1280efc17feee completed May 8, 2026, 1:22 a.m.
Created at: May 3, 2026, 4:14 p.m.