Triple
T98395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King’s Speech |
E1983
|
entity |
| Predicate | boxOfficeGrossWorldwideUSD |
P1960
|
FINISHED |
| Object | 414000000 |
—
|
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: 414000000 | Statement: [The King’s Speech, boxOfficeGrossWorldwideUSD, 414000000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boxOfficeGrossWorldwideUSD Context triple: [The King’s Speech, boxOfficeGrossWorldwideUSD, 414000000]
-
A.
boxOfficeGrossUSD
chosen
Indicates the total amount of money an entity earned at the box office, expressed in U.S. dollars.
-
B.
worldPremiereDate
Indicates the date on which a work (such as a film, play, or musical piece) is first publicly premiered anywhere in the world.
-
C.
independenceDay
Indicates the date or event on which an entity (typically a country or region) formally celebrates its independence from another governing authority.
-
D.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
-
E.
coversShareOfWorldGDP
Indicates that the subject accounts for a specified proportion of the total gross domestic product produced worldwide.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24ff07d148190a59aee12c807659d |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebe7b1c8190a6bfbf31dc7c7f07 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.