Triple
T17913246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Despair |
E447861
|
entity |
| Predicate | cannotDieInHumanSense |
P129300
|
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: [Despair, cannotDieInHumanSense, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotDieInHumanSense Context triple: [Despair, cannotDieInHumanSense, true]
-
A.
canDie
Indicates that an entity has the capacity or possibility to die or cease living.
-
B.
canDieIn
Indicates that one entity is capable of dying, ceasing to exist, or being destroyed within, because of, or in the context of another entity or situation.
-
C.
notImmortal
Indicates that the entity does not possess immortality and is subject to death or an end to its existence.
-
D.
ultimatelyRefusesToKill
Indicates that an entity, despite prior opportunity or intent, finally decides not to kill another entity.
-
E.
nearlyDiesFrom
Indicates that an entity comes very close to dying as a result of another entity or event, but ultimately survives.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30288ac8190bc633e69447709bf |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db77df0c819084548168c62b398c |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:19 a.m.