Triple
T37581948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Masque de fer (1962 film) |
E934992
|
entity |
| Predicate | runtimeFormat |
P186621
|
FINISHED |
| Object | feature-length film |
—
|
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: feature-length film | Statement: [Le Masque de fer (1962 film), runtimeFormat, feature-length film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runtimeFormat Context triple: [Le Masque de fer (1962 film), runtimeFormat, feature-length film]
-
A.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
-
B.
runtimeRepresentation
chosen
Indicates the concrete form or structure in which something (such as a program, type, or value) is represented and exists during execution time.
-
C.
distributedFormat
Indicates that an entity is made available or disseminated in a particular format or medium.
-
D.
registryFormat
Indicates that one entity specifies the data format or schema used for registering another entity in a registry.
-
E.
temporaryFormat
Indicates a relationship where something is given a non-permanent or provisional format, structure, or representation intended only for temporary use.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.