Triple
T4450572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Arcadio Buendía |
E97596
|
entity |
| Predicate | mentalState |
P35317
|
FINISHED |
| Object | gradual madness |
—
|
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: gradual madness | Statement: [José Arcadio Buendía, mentalState, gradual madness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentalState Context triple: [José Arcadio Buendía, mentalState, gradual madness]
-
A.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
B.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
C.
emotionEffect
Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
-
D.
feels
chosen
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
E.
openingMood
Indicates the emotional tone or atmosphere present at the beginning of an event, interaction, or narrative.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f2377c8190b0176b4c6776815e |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.