Triple

T31184654
Position Surface form Disambiguated ID Type / Status
Subject Animal Crackers (film songs) E795004 entity
Predicate featuresSong P2152 FINISHED
Object Watching the Clouds Go By
"Watching the Clouds Go By" is a song from the 1930 animated film "Animal Crackers," associated with the Marx Brothers’ classic musical comedy.
E1949817 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: Watching the Clouds Go By | Statement: [Animal Crackers (film songs), featuresSong, Watching the Clouds Go By]
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: Watching the Clouds Go By
Triple: [Animal Crackers (film songs), featuresSong, Watching the Clouds Go By]
Generated description
"Watching the Clouds Go By" is a song from the 1930 animated film "Animal Crackers," associated with the Marx Brothers’ classic musical comedy.

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_69f224d675d08190957198068e440422 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6991005748190b82d61279999b59d completed May 3, 2026, 12:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29473c32c8819083ee66d65caa2c02 completed June 10, 2026, 11:15 a.m.
NEDg Description generation batch_6a29482e8bc48190a1d257c7286b1ab1 completed June 10, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_6a294eea0f148190a57b7ab05b9f0227 completed June 10, 2026, 11:47 a.m.
Created at: April 29, 2026, 9:08 p.m.