Triple
T32902598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Dutchman |
E841650
|
entity |
| Predicate | actCountOfWorkFeaturingCharacter |
P175562
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [the Dutchman, actCountOfWorkFeaturingCharacter, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actCountOfWorkFeaturingCharacter Context triple: [the Dutchman, actCountOfWorkFeaturingCharacter, 3]
-
A.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
B.
genreOfWorkCharacterIsIn
Indicates the specific genre of the creative work in which a given character appears.
-
C.
notableWorkCharacter
Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
-
D.
worksForCharacterPlayedBy
Indicates that one character is employed by, or works under, another character who is portrayed by a specific actor.
-
E.
workFeaturedActor
Indicates that a particular actor is prominently featured in or plays a significant role in a given work (such as a film, show, or production).
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:19 a.m.