Triple
T23683244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Carlson |
E585090
|
entity |
| Predicate | seriesFirstAppearanceYear |
P121574
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [Carl Carlson, seriesFirstAppearanceYear, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesFirstAppearanceYear Context triple: [Carl Carlson, seriesFirstAppearanceYear, 1990]
-
A.
yearOfFirstApparition
chosen
Indicates the calendar year in which the entity first appeared or was introduced.
-
B.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
C.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
D.
seriesDebutContext
Indicates the context or circumstances under which a series first debuted or was initially introduced.
-
E.
seriesOrderOfFirstAppearance
Indicates the position in which an entity first appears within a series, relative to other entities in that same series.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4fa72b48190b872670b6546a718 |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:51 p.m.