Triple
T32543267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Hughes |
E831770
|
entity |
| Predicate | seriesPremiereYearContext |
P100959
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Heather Hughes, seriesPremiereYearContext, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesPremiereYearContext Context triple: [Heather Hughes, seriesPremiereYearContext, 2015]
-
A.
seriesPremiereOf
Indicates that one creative work (typically an episode) is the first-ever installment that begins a television or similar serialized series.
-
B.
seriesPremiereYearOfWork
chosen
Indicates the calendar year in which a series first premiered or was initially released.
-
C.
seriesDebutContext
Indicates the context or circumstances under which a series first debuted or was initially introduced.
-
D.
seriesPremiereAppearance
Indicates that an entity makes its first appearance in the premiere episode of a series.
-
E.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 1, 2026, 1:02 a.m.