Triple
T30214982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clodia Metelli |
E768178
|
entity |
| Predicate | possibleIdentityOf |
P99192
|
FINISHED |
| Object | Lesbia (lover of Catullus) |
—
|
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: Lesbia (lover of Catullus) | Statement: [Clodia Metelli, possibleIdentityOf, Lesbia (lover of Catullus)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleIdentityOf Context triple: [Clodia Metelli, possibleIdentityOf, Lesbia (lover of Catullus)]
-
A.
rumoredIdentity
chosen
Indicates that one entity is believed or speculated to be the identity of another, without confirmed or official verification.
-
B.
associatedWithSuperheroIdentity
Indicates that an entity has a connection or linkage to a particular superhero identity, such as being or representing that superhero persona.
-
C.
hasMultipleIdentities
Indicates that a single entity is associated with more than one distinct identity or persona.
-
D.
hasFictionalAlterEgoOf
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
-
E.
disputedIdentities
Indicates that there is disagreement or conflict over how the identities of the involved entities are defined, classified, or recognized.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 7:33 p.m.