Triple
T34136241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nike Boots |
E875574
|
entity |
| Predicate | referencedInLyrics |
P114550
|
FINISHED |
| Object | Nike boots |
—
|
LITERAL 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: Nike boots | Statement: [Nike Boots, referencedInLyrics, Nike boots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referencedInLyrics Context triple: [Nike Boots, referencedInLyrics, Nike boots]
-
A.
periodReferencedInLyrics
Indicates that a specific time period is mentioned or alluded to within the lyrics of a song.
-
B.
lyricReference
Indicates that one entity (typically a work or text) contains or makes a reference to the lyrics of another entity.
-
C.
hasLyricsMentioning
chosen
Indicates that the referenced lyrics explicitly mention or refer to the specified entity.
-
D.
notableLyricReference
Indicates that one entity contains a significant or well-known reference to the lyrics of another entity (such as a song or musical work).
-
E.
containsSongReferencing
Indicates that one entity (such as a work, collection, or playlist) includes at least one song that makes an explicit reference to another specified entity.
- F. None of above.
Provenance (3 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 1, 2026, 1:53 a.m.