Triple

T18170503
Position Surface form Disambiguated ID Type / Status
Subject Lily Collins E435012 entity
Predicate givenName P17 FINISHED
Object Lily
Lily is the English actress and model best known for her roles in films like "Mirror Mirror" and the series "Emily in Paris."
E1310073 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: Lily | Statement: [Lily Collins, givenName, Lily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lily
Context triple: [Lily Collins, givenName, Lily]
  • A. Lily
    Lily is the central protagonist of the film "Damsels in Distress," around whom the story’s events and character dynamics revolve.
  • B. Lily
    Lily is a supporting character in Pixar's animated film "Turning Red," appearing as one of Meilin "Mei" Lee's aunts in her extended family.
  • C. Lily
    Lily is a fictional character in the film "8 Mile," known as the younger half-sister of protagonist Jimmy Smith Jr. (Eminem).
  • D. Lily
    Lily is the middle name of Mary Lily Kenan, a prominent American heiress and philanthropist from the early 20th century.
  • E. Lily
    Lily is a pivotal character in the psychological thriller film "Black Swan," serving as a seductive and enigmatic rival whose presence intensifies the protagonist's descent into paranoia and self-destruction.
  • 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: Lily
Triple: [Lily Collins, givenName, Lily]
Generated description
Lily is the English actress and model best known for her roles in films like "Mirror Mirror" and the series "Emily in Paris."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lily
Target entity description: Lily is the English actress and model best known for her roles in films like "Mirror Mirror" and the series "Emily in Paris."
  • A. Lily
    Lily is the nickname of Lily Tomlin, the acclaimed American actress, comedian, writer, and producer known for her work in film, television, and theater.
  • B. Lily
    Lily is the first name of Lily Mo Sheen, a British actress and the daughter of actors Kate Beckinsale and Michael Sheen.
  • C. Lily
    Lily is a fictional character in the film "8 Mile," known as the younger half-sister of protagonist Jimmy Smith Jr. (Eminem).
  • D. Lily
    Lily is the central protagonist of the film "Damsels in Distress," around whom the story’s events and character dynamics revolve.
  • E. Lily
    Lily is an alias for Shanghai Lily, a fictional, sophisticated adventuress best known from the classic 1932 film "Shanghai Express."
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df555af081908a2f12bce6a13f56 completed April 19, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fc6c5008190a5ade67801d6df75 completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03914c5f6081908963548dc01a524a completed May 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_6a03925c322081909d435251e869194d completed May 12, 2026, 8:49 p.m.
Created at: April 10, 2026, 10:30 a.m.