Triple
T11991127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Gatt |
E285407
|
entity |
| Predicate | oftenCastAs |
P102758
|
FINISHED |
| Object | villain |
—
|
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: villain | Statement: [Joseph Gatt, oftenCastAs, villain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenCastAs Context triple: [Joseph Gatt, oftenCastAs, villain]
-
A.
castType
Indicates the specific kind or category of casting relationship that exists between two entities.
-
B.
castingType
Indicates the specific method or category of casting used to transform or represent one entity in terms of another.
-
C.
castIn
Indicates that an actor or performer appears in a particular film, show, or production.
-
D.
castFrom
Indicates that one entity is transformed or converted from another, typically changing its type or representation while preserving its underlying value or identity.
-
E.
hasCast
Indicates that a creative work features a particular group of performers or actors.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903afe4388190a2cf2328e85adf9b |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d903a8695c8190bfa9d7ca50834f9f |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.