Triple
T28987441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe |
E734725
|
entity |
| Predicate | appearsInWorkReleaseYear |
P164020
|
FINISHED |
| Object | 1987 |
—
|
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: 1987 | Statement: [Joe, appearsInWorkReleaseYear, 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInWorkReleaseYear Context triple: [Joe, appearsInWorkReleaseYear, 1987]
-
A.
basedInWorkReleaseYear
Indicates that an entity is based in, or derived from, a work that was released in a specified year.
-
B.
workReleaseYearOfAppearance
chosen
Indicates the year in which a particular work was first released or made its initial appearance.
-
C.
workReleaseYear
Indicates the calendar year in which a work (such as a book, film, or album) was first released or made publicly available.
-
D.
keyWorkReleaseYear
Indicates the year in which a key work (such as a major publication, artwork, or product) was first released.
-
E.
appearsInSeriesStartYear
Indicates the year in which the series in which the entity appears first began airing or was initially 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 28, 2026, 9:15 a.m.