Triple

T35144306
Position Surface form Disambiguated ID Type / Status
Subject Easy Lover E1014777 entity
Predicate singleSequencePrevious P90756 FINISHED
Object I Know
"I Know" is a song that follows "Easy Lover" in the artist's single release sequence.
 E2126835 NE FINISHED

How this triple was built (3 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: I Know | Statement: [Easy Lover, singleSequencePrevious, I Know]
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: I Know
Triple: [Easy Lover, singleSequencePrevious, I Know]
Generated description
"I Know" is a song that follows "Easy Lover" in the artist's single release sequence.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: singleSequencePrevious
Context triple: [Easy Lover, singleSequencePrevious, I Know]
  • A. previousRecord
    Indicates that one record directly precedes another in an ordered sequence of records.
  • B. previousSentence
    Indicates that one sentence directly precedes another in a sequence of text.
  • C. previousSymbol
    Indicates that one symbol directly precedes another symbol in a defined sequence or ordering.
  • D. previousWorkInSeries chosen
    Indicates that one work directly precedes another within the same series or sequence.
  • E. narrativeSequenceBefore
    Indicates that one narrative event or element occurs earlier in the story’s sequence than another.
  • F. None of above.

Provenance (6 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_69f76dda7c108190a2ffd93eb6c341a7 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f63c8788190b253a18de5ca1312 completed May 3, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37d95c5c388190b1b81a66274cf49e completed June 21, 2026, 12:30 p.m.
NEDg Description generation batch_6a37daeb79d88190a73d274e6e66148c completed June 21, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_6a37db3942b08190813492feb0687795 completed June 21, 2026, 12:38 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:02 p.m.