Triple
T29315917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happiest Days of Your Life (film score) |
E743374
|
entity |
| Predicate | associatedWithFilmCastMember |
P109630
|
FINISHED |
| Object | Alastair Sim |
E679066
|
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: Alastair Sim | Statement: [The Happiest Days of Your Life (film score), associatedWithFilmCastMember, Alastair Sim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFilmCastMember Context triple: [The Happiest Days of Your Life (film score), associatedWithFilmCastMember, Alastair Sim]
-
A.
relatedCastMember
Indicates that two cast members are connected through a relevant relationship, such as working together on the same production or being otherwise professionally associated.
-
B.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
-
C.
associatedWithProducerOfFilm
Indicates that one entity has an association or connection with the producer of a particular film.
-
D.
associatedWithFilmCharacterType
Indicates that an entity has an association or connection with a particular type or category of film character.
-
E.
associatedWithComposerOfFilm
chosen
Indicates a relationship where an entity is connected to the composer who created the musical score for a specific 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a0346b487088190814e4bd0765cb609 |
completed | May 12, 2026, 3:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26aa53651881908a2c21344123537f |
completed | June 8, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_6a0346428c60819090e5ea815c0921ca |
completed | May 12, 2026, 3:24 p.m. |
Created at: April 28, 2026, 1:19 p.m.