Triple
T26910198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Spinner |
E677361
|
entity |
| Predicate | tvSeriesFirstAppearance |
P86560
|
FINISHED |
| Object | Doom Patrol season 2 |
—
|
NE NERFINISHED |
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: Doom Patrol season 2 | Statement: [Dorothy Spinner, tvSeriesFirstAppearance, Doom Patrol season 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tvSeriesFirstAppearance Context triple: [Dorothy Spinner, tvSeriesFirstAppearance, Doom Patrol season 2]
-
A.
mainSeriesFirstAppearance
Indicates the work or installment in which an entity first appears within the primary or main series continuity.
-
B.
firstAppearanceTV
Indicates the television show or episode in which an entity is depicted or mentioned for the first time.
-
C.
seriesPremiereAppearance
Indicates that an entity makes its first appearance in the premiere episode of a series.
-
D.
seriesSeasonOfFirstAppearance
chosen
Indicates the specific season of a series in which an entity (such as a character or element) first appears.
-
E.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fd9d3208190aa7d3d12cb4db479 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:01 a.m.