Triple
T36828149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AI (The Answer) |
E910064
|
entity |
| Predicate | guidesCharacters |
P161227
|
FINISHED |
| Object | toward solving mysteries |
—
|
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: toward solving mysteries | Statement: [AI (The Answer), guidesCharacters, toward solving mysteries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guidesCharacters Context triple: [AI (The Answer), guidesCharacters, toward solving mysteries]
-
A.
guidesCharacter
Indicates that one entity provides direction, advice, or mentorship to another entity (the character) in their actions or development.
-
B.
guidesCharactersToward
chosen
Indicates a relationship in which one entity directs, influences, or leads characters toward a particular goal, destination, or outcome.
-
C.
discussesCharacter
Indicates that one entity talks or writes about, analyzes, or otherwise addresses a particular character.
-
D.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
-
E.
plotCharacter
Indicates a relationship where a character plays a role or participates in the narrative plot of a story or work.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabbc1008190a77cf3b503edb7df |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:13 p.m.