Triple
T32966659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amphitruo |
E843388
|
entity |
| Predicate | hasDoubleOfServant |
P144124
|
FINISHED |
| Object | Mercury disguised as Sosia |
—
|
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: Mercury disguised as Sosia | Statement: [Amphitruo, hasDoubleOfServant, Mercury disguised as Sosia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDoubleOfServant Context triple: [Amphitruo, hasDoubleOfServant, Mercury disguised as Sosia]
-
A.
hasServant
Indicates that one entity has another entity serving it in a subordinate or attendant role.
-
B.
treatsServants
Indicates how an entity behaves toward or deals with its servants.
-
C.
hasEnslavedCharacter
Indicates that one entity has held another entity in a state of slavery or forced servitude.
-
D.
servantType
Indicates the specific role or category of service that one entity performs in relation to another.
-
E.
hasDoppelganger
chosen
Indicates that an entity has a counterpart or double that closely resembles it, often in appearance, behavior, or role.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: May 1, 2026, 1:21 a.m.