Triple
T14104694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Raymond Langston |
E339474
|
entity |
| Predicate | seriesRegularFromSeason |
P112825
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Dr. Raymond Langston, seriesRegularFromSeason, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesRegularFromSeason Context triple: [Dr. Raymond Langston, seriesRegularFromSeason, 9]
-
A.
seriesRegularIn
Indicates that an entity serves as a regular, recurring participant (such as a main or core cast member) in a particular series.
-
B.
episodeNumberInSeason
Indicates the specific sequential position an episode holds within a particular season of a series.
-
C.
numberOfSeriesPerSeason
Indicates the total count of series (or episodes/instalments) that occur within a single season of something.
-
D.
playsSeasonSeries
Indicates that an entity participates as a competitor or team in a particular season of a series or league.
-
E.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
- F. None of above. chosen
Provenance (4 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbd02888190bf07fd6d8769b61c |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:22 p.m.