Triple
T27005667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Scott |
E680233
|
entity |
| Predicate | 1986ERA |
P161769
|
FINISHED |
| Object | 2.22 |
—
|
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: 2.22 | Statement: [Mike Scott, 1986ERA, 2.22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 1986ERA Context triple: [Mike Scott, 1986ERA, 2.22]
-
A.
1906ERA
Indicates that the subject is associated with, occurred in, or is otherwise specifically related to the year 1906.
-
B.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
C.
associatedProductionEra
Indicates a relationship where something is linked to the specific time period or era during which it was produced or created.
-
D.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
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. 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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621d139f081909f9ca04e04095dba |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 7 a.m.