Triple
T24870664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Can Do No Wrong |
E622415
|
entity |
| Predicate | hasPerformerCharacter |
P94795
|
FINISHED |
| Object | Manuela |
—
|
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: Manuela | Statement: [You Can Do No Wrong, hasPerformerCharacter, Manuela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformerCharacter Context triple: [You Can Do No Wrong, hasPerformerCharacter, Manuela]
-
A.
hasPerformerCharacteristic
Indicates that a performer possesses a particular attribute, quality, or characteristic.
-
B.
performerCharacterName
chosen
Indicates that a performer is associated with or portrays a specific character name in a performance or work.
-
C.
hasFictionalPerformer
Indicates that an entity is associated with a performer who is a fictional or imaginary character rather than a real person.
-
D.
characterPerformer
Indicates that a performer portrays or voices a particular character in a work.
-
E.
originalPerformerCharacter
Indicates that a performer is the first or primary actor to portray a particular character in a 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:23 a.m.