Triple

T36474686
Position Surface form Disambiguated ID Type / Status
Subject Hold Me Up E898629 entity
Predicate hasPart P35 FINISHED
Object Two Days in February
"Two Days in February" is a song by the Goo Goo Dolls, featured as a track on their 1990 album *Hold Me Up*.
 E2186401 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: Two Days in February | Statement: [Hold Me Up, hasPart, Two Days in February]
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: Two Days in February
Triple: [Hold Me Up, hasPart, Two Days in February]
Generated description
"Two Days in February" is a song by the Goo Goo Dolls, featured as a track on their 1990 album *Hold Me Up*.

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_69f76e5a0e088190a2b6706aeb41723c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bdd71d348190a70ce1cca1f80ca5 completed May 3, 2026, 9:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39cfd711b081909af17e3f8783e38b completed June 23, 2026, 12:14 a.m.
NEDg Description generation batch_6a39d3ea5e4481909db900a655c387cd completed June 23, 2026, 12:31 a.m.
NED2 Entity disambiguation (via description) batch_6a39d46e171c8190bf55f47096200625 completed June 23, 2026, 12:33 a.m.
Created at: May 3, 2026, 4:10 p.m.