Triple
T31698666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Halpert |
E808987
|
entity |
| Predicate | seriesSeasonFirstAppearance |
P86560
|
FINISHED |
| Object | Season 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: Season 1 | Statement: [Pam Halpert, seriesSeasonFirstAppearance, Season 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesSeasonFirstAppearance Context triple: [Pam Halpert, seriesSeasonFirstAppearance, Season 1]
-
A.
seriesSeasonOfFirstAppearance
chosen
Indicates the specific season of a series in which an entity (such as a character or element) first appears.
-
B.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
-
C.
seriesPremiereAppearance
Indicates that an entity makes its first appearance in the premiere episode of a series.
-
D.
firstSeasonOf
Indicates that one entity is the first season installment belonging to the series or show represented by the other entity.
-
E.
firstAiredInSeries
Indicates the series in which an episode or show was originally first broadcast.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 30, 2026, 11:11 p.m.