Triple
T19148616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimì |
E468745
|
entity |
| Predicate | relationshipWithMusetta |
P134610
|
FINISHED |
| Object | friend |
—
|
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: friend | Statement: [Mimì, relationshipWithMusetta, friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithMusetta Context triple: [Mimì, relationshipWithMusetta, friend]
-
A.
museOf
Indicates that one entity serves as the source of artistic or intellectual inspiration for another.
-
B.
relationshipToMadameMerle
Indicates the specific nature or type of relationship an entity has with Madame Merle.
-
C.
relationshipToMamillius
Indicates the specific familial or social relationship that an entity has to Mamillius.
-
D.
relationshipToGilbertOsmond
Indicates the specific type of personal or social relationship that an entity has with Gilbert Osmond.
-
E.
relationshipToOdette
Indicates the specific familial, social, or interpersonal connection that an entity has with Odette.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97b48508190b61458821b6475ad |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.