Triple
T37358144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Boys |
E927508
|
entity |
| Predicate | advisesCharacter |
P44698
|
FINISHED |
| Object | Tamino |
—
|
NE NERFINISHED |
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: Tamino | Statement: [Three Boys, advisesCharacter, Tamino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advisesCharacter Context triple: [Three Boys, advisesCharacter, Tamino]
-
A.
guidesCharacter
chosen
Indicates that one entity provides direction, advice, or mentorship to another entity (the character) in their actions or development.
-
B.
guidesCharactersToward
Indicates a relationship in which one entity directs, influences, or leads characters toward a particular goal, destination, or outcome.
-
C.
mentorCharacter
Indicates that one character serves as a mentor, providing guidance, teaching, or support to another character.
-
D.
helpsCharacterType
Indicates that one character type provides assistance or support to another character type.
-
E.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.