Triple
T37720064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godot |
E939558
|
entity |
| Predicate | neverArrives |
P142555
|
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, neverArrives, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neverArrives Context triple: [Godot, neverArrives, true]
-
A.
neverMisses
Indicates that the subject consistently succeeds in performing an action or achieving a target without ever failing.
-
B.
never
chosen
Indicates that the specified relationship or action does not occur at any time or under any circumstances.
-
C.
neverDrained
Indicates that the entity has not been emptied, exhausted, or depleted at any time in the relevant context or period.
-
D.
neverCaptured
Indicates that the subject has not at any time been apprehended, seized, or taken into custody by another entity.
-
E.
neverCompletedAs
Indicates that an entity was at some point expected or intended to have a certain role, status, or outcome, but that role/status/outcome was never actually completed or realized.
- 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_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:18 p.m.