Triple
T15681705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Harris |
E377591
|
entity |
| Predicate | communicationModeWithCharlotte |
P3332
|
FINISHED |
| Object | intimate conversation |
—
|
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: intimate conversation | Statement: [Bob Harris, communicationModeWithCharlotte, intimate conversation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationModeWithCharlotte Context triple: [Bob Harris, communicationModeWithCharlotte, intimate conversation]
-
A.
communicationMode
chosen
Indicates the method or channel through which communication between entities is carried out.
-
B.
communicationModel
Indicates the type or framework of communication used or assumed in the relationship between entities.
-
C.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
D.
communicationTrait
Indicates a characteristic or quality related to how an entity communicates or engages in communication.
-
E.
communicationDirection
Indicates the directional flow of a communication act, specifying who is sending information and who is receiving it.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.