Triple
T37720047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godot |
E939558
|
entity |
| Predicate | neverAppearsOnStage |
P68370
|
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: [Godot, neverAppearsOnStage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neverAppearsOnStage Context triple: [Godot, neverAppearsOnStage, true]
-
A.
neverRepresentedBy
Indicates that one entity has at no time been represented or acted on behalf of by the other entity.
-
B.
neverUsedInBattle
Indicates that the entity has not participated in any battle or combat situation.
-
C.
neverSeenOnCamera
Indicates that the subject has not appeared or been captured in any recorded visual media or footage.
-
D.
doesNotFeatureCharacterDirectly
chosen
Indicates that the subject work does not include the specified character as an on-screen, on-page, or otherwise directly appearing participant in its content.
-
E.
hasNoHumanProtagonist
Indicates that in the described work or narrative, none of the main protagonists are human characters.
- F. None of above.
Provenance (3 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.