Triple
T18130895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Shah Zaman |
E434005
|
entity |
| Predicate | emotionalStateAfterBetrayal |
P76175
|
FINISHED |
| Object | despair |
—
|
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: despair | Statement: [King Shah Zaman, emotionalStateAfterBetrayal, despair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionalStateAfterBetrayal Context triple: [King Shah Zaman, emotionalStateAfterBetrayal, despair]
-
A.
betrayed
Indicates that one entity has broken the trust, loyalty, or confidence of another, typically by acting against their interests or revealing something meant to be kept secret.
-
B.
causeOfBetrayal
Indicates that one entity is the reason or motivating factor behind another entity’s act of betrayal.
-
C.
emotionState
chosen
Indicates the emotional condition or feeling that an entity is currently experiencing.
-
D.
psychologicalStateAfterCrime
Indicates the mental or emotional condition an individual experiences as a consequence of committing a crime.
-
E.
isEmbittered
Indicates that an entity harbors persistent bitterness or resentment, typically as a result of past experiences or perceived wrongs.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf1e2508190993f65ca137fdf63 |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.