Triple
T17891042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. White |
E447314
|
entity |
| Predicate | filmSeriesEra |
P71381
|
FINISHED |
| Object | Daniel Craig era of James Bond films |
—
|
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: Daniel Craig era of James Bond films | Statement: [Mr. White, filmSeriesEra, Daniel Craig era of James Bond films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeriesEra Context triple: [Mr. White, filmSeriesEra, Daniel Craig era of James Bond films]
-
A.
filmEra
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
B.
filmStudioEra
Indicates the historical period or era during which a particular film studio was active or most influential.
-
C.
filmSeriesDebutYear
Indicates the calendar year in which a film series was first released or made its initial debut.
-
D.
notableSeriesEra
chosen
Indicates the historical period or era during which a series is notably set, produced, or most prominently recognized.
-
E.
filmSeriesStart
Indicates that a particular film marks the beginning or first installment of a film series.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7948888190b59ddc7061d13e84 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:18 a.m.