Triple
T13661153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chinese Restaurant |
E326995
|
entity |
| Predicate | airingEra |
P71381
|
FINISHED |
| Object | early 1990s 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: early 1990s American television | Statement: [The Chinese Restaurant, airingEra, early 1990s American television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airingEra Context triple: [The Chinese Restaurant, airingEra, early 1990s American television]
-
A.
filmEra
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
B.
notableSeriesEra
chosen
Indicates the historical period or era during which a series is notably set, produced, or most prominently recognized.
-
C.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
D.
musicalEra
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
E.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.