Triple
T9558570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maillart’s Bridges |
E230608
|
entity |
| Predicate | hasCast |
P89780
|
FINISHED |
| Object | no traditional actors |
—
|
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: no traditional actors | Statement: [Maillart’s Bridges, hasCast, no traditional actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCast Context triple: [Maillart’s Bridges, hasCast, no traditional actors]
-
A.
hasMultipleCasts
Indicates that an entity is associated with more than one distinct cast or casting instance.
-
B.
hasCastAlbum
Indicates that a theatrical or film production is associated with a specific recorded cast album.
-
C.
hasCastType
Indicates that an entity participates in a production with a specified type of casting role (e.g., lead, supporting, cameo).
-
D.
castIn
Indicates that an actor or performer appears in a particular film, show, or production.
-
E.
hasCaste
Indicates that an entity belongs to or is associated with a particular caste within a social or hierarchical system.
- F. None of above. chosen
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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99487b4c819086e02e29e37b593f |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:03 p.m.