Triple

T32528532
Position Surface form Disambiguated ID Type / Status
Subject Darling of the Day E831381 entity
Predicate notableSong P4 FINISHED
Object It’s Enough to Make a Lady Fall in Love
"It’s Enough to Make a Lady Fall in Love" is a musical theatre song from the Broadway show *Darling of the Day*, known for its witty, romantic lyrics and classic show-tune style.
E2011245 NE FINISHED

How this triple was built (2 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: It’s Enough to Make a Lady Fall in Love | Statement: [Darling of the Day, notableSong, It’s Enough to Make a Lady Fall in Love]
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: It’s Enough to Make a Lady Fall in Love
Triple: [Darling of the Day, notableSong, It’s Enough to Make a Lady Fall in Love]
Generated description
"It’s Enough to Make a Lady Fall in Love" is a musical theatre song from the Broadway show *Darling of the Day*, known for its witty, romantic lyrics and classic show-tune style.

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_69f34923e1548190be0524205d8cdf8f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c51ad3888190b22cb1a2c121785a completed May 3, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34706fda748190afea99ff2f245a33 completed June 18, 2026, 10:25 p.m.
NEDg Description generation batch_6a3471bd3f248190a131d90a71a851d0 completed June 18, 2026, 10:31 p.m.
NED2 Entity disambiguation (via description) batch_6a34730395d88190b357f48fbc8d6b11 completed June 18, 2026, 10:36 p.m.
Created at: May 1, 2026, 1:01 a.m.