Triple
T5752396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | r/pics |
E126882
|
entity |
| Predicate | discussionStyle |
P66541
|
FINISHED |
| Object | threaded comments |
—
|
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: threaded comments | Statement: [r/pics, discussionStyle, threaded comments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussionStyle Context triple: [r/pics, discussionStyle, threaded comments]
-
A.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
B.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
C.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
D.
influencedDiscussionOf
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
E.
discussesThinker
Indicates that one entity engages in discussion or analysis about a particular thinker or philosopher.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02b4ea03c81908c3d799462de20c4 |
completed | March 22, 2026, 5:47 p.m. |
Created at: March 22, 2026, 3:48 p.m.