Triple
T30206825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatever Will Be, Will Be |
E767946
|
entity |
| Predicate | firstFeaturedInFilm |
P83337
|
FINISHED |
| Object | The Man Who Knew Too Much (1956 film) |
E844915
|
NE 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: The Man Who Knew Too Much (1956 film) | Statement: [Whatever Will Be, Will Be, firstFeaturedInFilm, The Man Who Knew Too Much (1956 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFeaturedInFilm Context triple: [Whatever Will Be, Will Be, firstFeaturedInFilm, The Man Who Knew Too Much (1956 film)]
-
A.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
B.
firstUsedInFeatureFilm
Indicates that something (such as a technique, character, or element) made its earliest appearance or application in a particular feature film.
-
C.
firstFeatureFilmRelease
Indicates the date or event of an entity’s debut feature-length film being publicly released.
-
D.
firstAppearanceFilm
chosen
Indicates the film in which an entity (such as a character or person) makes its first on-screen appearance.
-
E.
includedInFilm
Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
- F. None of above.
Provenance (4 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01b50490e481908eb1d675561fdde2 |
completed | May 11, 2026, 10:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2758a90ec88190848bb2ed84476a2e |
completed | June 9, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_6a01b44b106481908aa98a3f1eb2c119 |
completed | May 11, 2026, 10:49 a.m. |
Created at: April 29, 2026, 7:31 p.m.