Triple
T32966766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pseudolus |
E843390
|
entity |
| Predicate | hasYoungLoverCharacter |
P176377
|
FINISHED |
| Object | Calidorus |
—
|
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: Calidorus | Statement: [Pseudolus, hasYoungLoverCharacter, Calidorus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYoungLoverCharacter Context triple: [Pseudolus, hasYoungLoverCharacter, Calidorus]
-
A.
hasLoveLifeCharacteristic
Indicates that an entity possesses a particular quality, status, or attribute related to its romantic or love life.
-
B.
protagonistLover
Indicates that one entity is the romantic partner or love interest of the story’s protagonist.
-
C.
isChildhoodSweetheartOf
Indicates that two people were romantically involved with each other during their childhood or adolescence, typically as first or early sweethearts.
-
D.
hasHumanPartnerCharacter
Indicates that an entity is associated with a partner character who is human.
-
E.
hasFianceeOfSonAsLover
Indicates that a person is in a romantic or sexual relationship with their son’s fiancée.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:21 a.m.