Triple
T31503008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Joanna Graham |
E803737
|
entity |
| Predicate | basedInSeriesProducedIn |
P196051
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
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: United Kingdom | Statement: [Dr. Joanna Graham, basedInSeriesProducedIn, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInSeriesProducedIn Context triple: [Dr. Joanna Graham, basedInSeriesProducedIn, United Kingdom]
-
A.
basedInSeries
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular series.
-
B.
producedSeriesFor
Indicates that one entity created or was responsible for producing a series (such as a TV, web, or media series) for another entity.
-
C.
producedFilmSeries
Indicates that a person or organization served as a producer for a particular film series.
-
D.
situatedInSeries
Indicates that one entity is located or positioned within a particular series, sequence, or ordered collection of related items.
-
E.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69fe031af3248190816da6829aef7bab |
completed | May 8, 2026, 3:36 p.m. |
Created at: April 30, 2026, 9:45 p.m.