Triple
T3607289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Burghers of Calais (cast) by Auguste Rodin |
E76402
|
entity |
| Predicate | hasMultipleCasts |
P49916
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Burghers of Calais (cast) by Auguste Rodin, hasMultipleCasts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleCasts Context triple: [The Burghers of Calais (cast) by Auguste Rodin, hasMultipleCasts, true]
-
A.
hasEnsembleCast
Indicates that a work features an ensemble cast, meaning multiple principal performers share roughly equal prominence rather than having a single clear lead.
-
B.
hasCaste
Indicates that an entity belongs to or is associated with a particular caste within a social or hierarchical system.
-
C.
typicalCasting
Indicates that one entity is the usual or standard casting choice for portraying another entity (such as a role, character, or type).
-
D.
castIn
Indicates that an actor or performer appears in a particular film, show, or production.
-
E.
hasPlurality
Indicates that an entity or concept exists or is expressed in a plural form rather than a singular one.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc228e24481909ae6a1e4ad796917 |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:22 p.m.