Triple
T216279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Iron Mask |
E4111
|
entity |
| Predicate | includesSpokenEpilogue |
P9713
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Iron Mask, includesSpokenEpilogue, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSpokenEpilogue Context triple: [The Iron Mask, includesSpokenEpilogue, yes]
-
A.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
B.
endedWith
Indicates that one event, process, or state concluded with or was finalized by another specified event, condition, or outcome.
-
C.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
D.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
E.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dcd2b208190855d5d8d70a3acfc |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b52190481908f299d26122bafd2 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25dcba5148190ab80fd14c7cf4bb4 |
completed | Feb. 28, 2026, 3:15 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.