Triple
T15491920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Next Doctor |
E378706
|
entity |
| Predicate | seasonInProductionOrder |
P43506
|
FINISHED |
| Object | betweenSeries4AndSeries5 |
—
|
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: betweenSeries4AndSeries5 | Statement: [The Next Doctor, seasonInProductionOrder, betweenSeries4AndSeries5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonInProductionOrder Context triple: [The Next Doctor, seasonInProductionOrder, betweenSeries4AndSeries5]
-
A.
seasonSequence
Indicates the ordered succession relationship between seasons, specifying which season follows or precedes another in a temporal sequence.
-
B.
seasonAfter
chosen
Indicates that one season occurs chronologically immediately after another season in a sequence.
-
C.
hasSeasonalStatus
Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
-
D.
hasSeasonalRound
Indicates a recurring, seasonally patterned cycle of movements, activities, or resource use associated with an entity over the course of a year.
-
E.
seasonLabel
Indicates the specific season (e.g., spring, summer, fall, winter, or a numbered TV season) associated with an entity.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:49 a.m.