Triple
T25948808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Weir |
E653915
|
entity |
| Predicate | mainSeriesFirstAppearanceSeason |
P86560
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Elizabeth Weir, mainSeriesFirstAppearanceSeason, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSeriesFirstAppearanceSeason Context triple: [Elizabeth Weir, mainSeriesFirstAppearanceSeason, 1]
-
A.
mainSeriesFirstAppearance
Indicates the work or installment in which an entity first appears within the primary or main series continuity.
-
B.
seriesSeasonOfFirstAppearance
chosen
Indicates the specific season of a series in which an entity (such as a character or element) first appears.
-
C.
firstAiredInSeries
Indicates the series in which an episode or show was originally first broadcast.
-
D.
firstAppearanceEpisodeNumber
Indicates the episode number in which an entity (such as a character or item) first appears.
-
E.
firstAiredWithSeries
Indicates that an episode or installment was originally broadcast as part of the initial airing of a particular 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 8:43 a.m.