Triple

T11121657
Position Surface form Disambiguated ID Type / Status
Subject Lily Tomlin E263030 entity
Predicate nickname P55 FINISHED
Object 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.
E906448 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 Tomlin, nickname, Lily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lily
Context triple: [Lily Tomlin, nickname, 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 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.
  • D. Lily
    Lily is a fictional character from the British television sitcom "The Rag Trade," which humorously portrays the lives and conflicts of workers in a small clothing factory.
  • E. Lily
    Lily is the resurrected, morally complex alter ego of Brona Croft in the horror drama series "Penny Dreadful."
  • 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 Tomlin, nickname, Lily]
Generated description
Lily is the nickname of Lily Tomlin, the acclaimed American actress, comedian, writer, and producer known for her work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lily
Target entity description: Lily is the nickname of Lily Tomlin, the acclaimed American actress, comedian, writer, and producer known for her work in film, television, and theater.
  • A. Lily
    Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
  • 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 woman romantically involved with Frank Money in Toni Morrison’s novel "Home."
  • D. Lily
    Lily is a fictional character from the British television sitcom "The Rag Trade," which humorously portrays the lives and conflicts of workers in a small clothing factory.
  • E. Lily
    Lily is the central protagonist of the film "Damsels in Distress," around whom the story’s events and character dynamics revolve.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79afa0ab88190ab6d61df8cf485ec completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8406988190837a16d7ad8048d1 completed April 19, 2026, 1:19 a.m.
NEDg Description generation batch_69e4374700b881908ebb185ae020487b completed April 19, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69e4399385c08190852c3cbd730a1f11 completed April 19, 2026, 2:10 a.m.
Created at: April 8, 2026, 9:28 p.m.