Triple
T37054985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wait |
E917152
|
entity |
| Predicate | trackNumberOnRedPillBlues |
P190099
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Wait, trackNumberOnRedPillBlues, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackNumberOnRedPillBlues Context triple: [Wait, trackNumberOnRedPillBlues, 4]
-
A.
trackNumberOnNeonBible
Indicates the specific track number that a song occupies on the album "Neon Bible."
-
B.
trackNumberOnOKComputer
Indicates that one entity is the track number assigned to a specific track on the album "OK Computer."
-
C.
trackNumberOnTheGoldExperience
Indicates that one entity is the specific track number assigned to a song or piece on the album "The Gold Experience."
-
D.
trackNumberOnBornSinner
Indicates the specific track number that a song or piece of audio occupies on the album "Born Sinner."
-
E.
trackNumberOnJustice
Indicates the position or sequence number that something occupies on the entity referred to as "Justice," such as a track on an album.
- F. None of above. chosen
Provenance (4 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:14 p.m.