Triple

T35625706
Position Surface form Disambiguated ID Type / Status
Subject Grouplove E1029445 entity
Predicate notableWork P4 FINISHED
Object Itchin’ on a Photograph
"Itchin’ on a Photograph" is an indie rock song by American band Grouplove, known for its energetic style and sing-along chorus.
 E2149785 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: Itchin’ on a Photograph | Statement: [Grouplove, notableWork, Itchin’ on a Photograph]
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: Itchin’ on a Photograph
Triple: [Grouplove, notableWork, Itchin’ on a Photograph]
Generated description
"Itchin’ on a Photograph" is an indie rock song by American band Grouplove, known for its energetic style and sing-along chorus.

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_69f76e07bb0c8190968ea2d836fc42c9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79f151c308190856dabf20ddafb02 completed May 3, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38684ad5a081909b5550c809297a1a completed June 21, 2026, 10:40 p.m.
NEDg Description generation batch_6a38694064788190a60dcb80c9c8033a completed June 21, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a3869d593388190a015a87a400f2205 completed June 21, 2026, 10:46 p.m.
Created at: May 3, 2026, 4:05 p.m.