Triple

T38142137
Position Surface form Disambiguated ID Type / Status
Subject Tusk World Tour E952501 entity
Predicate performedSong P11145 FINISHED
Object Say You Love Me
"Say You Love Me" is a popular Fleetwood Mac song, written and sung by Christine McVie, that became one of the standout singles from their 1975 self-titled album.
E2257758 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: Say You Love Me | Statement: [Tusk World Tour, performedSong, Say You Love Me]
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: Say You Love Me
Triple: [Tusk World Tour, performedSong, Say You Love Me]
Generated description
"Say You Love Me" is a popular Fleetwood Mac song, written and sung by Christine McVie, that became one of the standout singles from their 1975 self-titled album.

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_69f76f09a7148190a4b91c0bacdc127a completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc460bf0808190b02dd11103669416 completed May 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a41712cc8f081908214c8db7ac0b10f completed June 28, 2026, 7:08 p.m.
NEDg Description generation batch_6a4171c13b348190b341e790d1a137e7 completed June 28, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_6a41727957dc819093712b582adc2a69 completed June 28, 2026, 7:14 p.m.
Created at: May 3, 2026, 4:21 p.m.