Triple
T4407359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philo |
E93766
|
entity |
| Predicate | dialoguePosition |
P56087
|
FINISHED |
| Object | skeptical critic of natural religion |
—
|
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: skeptical critic of natural religion | Statement: [Philo, dialoguePosition, skeptical critic of natural religion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialoguePosition Context triple: [Philo, dialoguePosition, skeptical critic of natural religion]
-
A.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
B.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
-
C.
dialogueForm
Indicates that one entity takes the form or structure of a dialogue, typically involving conversational or interactive exchange between parties.
-
D.
dialogueAppearance
Indicates that one entity appears or is visually represented during a particular dialogue or conversational sequence involving another entity.
-
E.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3548b1ca08190b3136867c7098d86 |
completed | March 13, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:28 p.m.