Triple
T24203339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go to Sleep |
E600036
|
entity |
| Predicate | primaryUserEra |
P77920
|
FINISHED |
| Object | CM Punk WWE tenure |
—
|
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: CM Punk WWE tenure | Statement: [Go to Sleep, primaryUserEra, CM Punk WWE tenure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUserEra Context triple: [Go to Sleep, primaryUserEra, CM Punk WWE tenure]
-
A.
primaryEraEvaluated
Indicates that an entity has been assessed or analyzed with respect to its main or most relevant historical era or time period.
-
B.
hasPrimaryEra
chosen
Indicates that an entity is chiefly associated with or belongs to a particular historical or temporal era.
-
C.
creatorEra
Indicates the historical period or era during which the creator of an entity was active or produced the entity.
-
D.
precedesEra
Indicates that one time period or era occurs entirely before another in chronological order.
-
E.
originalRunEra
Indicates the time period or era during which something (such as a show, series, or product) was first originally run or released.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca38c148190ae65cd692567d43d |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:37 p.m.