Triple
T33355034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendy |
E854047
|
entity |
| Predicate | characteristicDialogue |
P199268
|
FINISHED |
| Object | rapid-fire banter |
—
|
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: rapid-fire banter | Statement: [Mendy, characteristicDialogue, rapid-fire banter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicDialogue Context triple: [Mendy, characteristicDialogue, rapid-fire banter]
-
A.
characterInteraction
Indicates an interaction or exchange occurring between two or more characters, such as communication, conflict, cooperation, or shared activity.
-
B.
discussesCharacter
Indicates that one entity talks or writes about, analyzes, or otherwise addresses a particular character.
-
C.
discussedByCharacter
Indicates that a topic, event, or subject is talked about or examined in dialogue or thought by a character.
-
D.
AICharacteristics
Indicates the defining traits, behaviors, or properties that characterize an artificial intelligence system.
-
E.
agingCharacteristics
Indicates how the qualities, properties, or behavior of something change as it ages or over time.
- 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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
| PDg | Predicate description generation | batch_69ff29d77f48819085304ed5e92eb906 |
completed | May 9, 2026, 12:34 p.m. |
Created at: May 1, 2026, 1:34 a.m.