Triple
T14287202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twice Upon a Time |
E354204
|
entity |
| Predicate | concludesEraOf |
P14950
|
FINISHED |
| Object | Steven Moffat as Doctor Who showrunner |
—
|
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: Steven Moffat as Doctor Who showrunner | Statement: [Twice Upon a Time, concludesEraOf, Steven Moffat as Doctor Who showrunner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concludesEraOf Context triple: [Twice Upon a Time, concludesEraOf, Steven Moffat as Doctor Who showrunner]
-
A.
endedEra
chosen
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
-
B.
singleMatchEraEnd
Indicates the point in time when a particular single-match period or era concludes.
-
C.
historicalEraUsheredIn
Indicates the historical era or period that was initiated or brought about as a result of a particular event, action, or entity.
-
D.
followsEra
Indicates that one time period or era comes directly after another in chronological order.
-
E.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.