Triple
T14300908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannerman Road |
E354558
|
entity |
| Predicate | notableFeatureInSeries |
P61000
|
FINISHED |
| Object | Sarah Jane Smith’s house |
—
|
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: Sarah Jane Smith’s house | Statement: [Bannerman Road, notableFeatureInSeries, Sarah Jane Smith’s house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFeatureInSeries Context triple: [Bannerman Road, notableFeatureInSeries, Sarah Jane Smith’s house]
-
A.
notableFeatureInStory
Indicates that a particular feature, element, or characteristic plays a significant or prominent role within a story.
-
B.
notableFeatureOn
chosen
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
C.
notableEpisode
Indicates that a particular episode is especially significant, memorable, or noteworthy in relation to the subject.
-
D.
notableBroadcastFeature
Indicates that something has a distinctive or noteworthy characteristic related to its broadcast or transmission.
-
E.
notableCastFeature
Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
- 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_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.