Triple
T14904693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Name of the Doctor |
E360098
|
entity |
| Predicate | seriesNumberInRevivedRun |
P63533
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [The Name of the Doctor, seriesNumberInRevivedRun, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInRevivedRun Context triple: [The Name of the Doctor, seriesNumberInRevivedRun, 7]
-
A.
seriesNumberInCarryOn
Indicates that an item has a specific series or sequence number within a set of carry-on items.
-
B.
revivalNumberOfSeries
chosen
Indicates the ordinal position of a particular revival within the overall sequence of revivals of a series.
-
C.
seriesNumberInAdventureSeries
Indicates the position or installment number that an item occupies within an adventure series.
-
D.
revivalNumberOfEpisodes
Indicates the total number of episodes produced for a revived or rebooted version of a series.
-
E.
reporterSeriesNumber
Indicates the numerical designation of a particular series within a set of reports or reporter publications.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:12 a.m.