Triple
T24206686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Singer |
E600422
|
entity |
| Predicate | stagePersonaInKiss |
P70717
|
FINISHED |
| Object | The Catman |
—
|
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: The Catman | Statement: [Eric Singer, stagePersonaInKiss, The Catman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stagePersonaInKiss Context triple: [Eric Singer, stagePersonaInKiss, The Catman]
-
A.
hasOnScreenKissWith
Indicates that two entities share a romantic or affectionate kiss depicted visually within the same on-screen scene.
-
B.
stagePersonaOf
chosen
Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
-
C.
stageName
Indicates that one entity is the performance or professional name used by another entity.
-
D.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
E.
stageAge
Indicates the age or developmental period associated with a particular stage in a process, lifecycle, or progression.
- 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_69e2953344c48190875730c7d52112a0 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f27ca63d188190add6c41929bb5cb5 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:44 p.m.