Triple
T12277162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Robert Hartley |
E292616
|
entity |
| Predicate | seriesEra |
P71381
|
FINISHED |
| Object | 1970s American television |
—
|
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: 1970s American television | Statement: [Dr. Robert Hartley, seriesEra, 1970s American television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesEra Context triple: [Dr. Robert Hartley, seriesEra, 1970s American television]
-
A.
notableSeriesEra
chosen
Indicates the historical period or era during which a series is notably set, produced, or most prominently recognized.
-
B.
seriesInception
Indicates the event or point in time at which a series is first created, launched, or begins.
-
C.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
D.
currentSeriesIntroduced
Indicates that an entity was first introduced or appeared in the currently ongoing series or installment of a work.
-
E.
seriesDebutContext
Indicates the context or circumstances under which a series first debuted or was initially 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.