Triple

T24301608
Position Surface form Disambiguated ID Type / Status
Subject Whizzer Brown E606112 entity
Predicate singsSong P12693 FINISHED
Object This Had Better Come to a Stop
"This Had Better Come to a Stop" is a musical number from the stage musical *Falsettos*, performed by the character Whizzer Brown as he confronts the emotional turmoil and conflicts in his relationships.
E1626951 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: This Had Better Come to a Stop | Statement: [Whizzer Brown, singsSong, This Had Better Come to a Stop]
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: This Had Better Come to a Stop
Triple: [Whizzer Brown, singsSong, This Had Better Come to a Stop]
Generated description
"This Had Better Come to a Stop" is a musical number from the stage musical *Falsettos*, performed by the character Whizzer Brown as he confronts the emotional turmoil and conflicts in his relationships.

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_69e29549335881909cbf27adcaba1cf0 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f29222d3008190af765d62787ee334 completed April 29, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9d53910819087ef44e9c51bd32d completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcaf2b34c8190a05b9dc72da92d4b completed May 22, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcb724a888190838a30e05e556421 completed May 22, 2026, 3:20 a.m.
Created at: April 18, 2026, 12:09 a.m.