Triple
T33796717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lucille Ball-Desi Arnaz Show |
E866092
|
entity |
| Predicate | characterContinuedFrom |
P199708
|
FINISHED |
| Object | Lucy Ricardo |
—
|
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: Lucy Ricardo | Statement: [The Lucille Ball-Desi Arnaz Show, characterContinuedFrom, Lucy Ricardo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterContinuedFrom Context triple: [The Lucille Ball-Desi Arnaz Show, characterContinuedFrom, Lucy Ricardo]
-
A.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
B.
characterFollowed
Indicates that one character moves or acts after another character, maintaining pursuit or close succession.
-
C.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
D.
character2
Indicates that a second character entity is involved in the relationship or context defined by the predicate.
-
E.
characterInFocus
Indicates that a particular character is the primary subject or focal point within a given context, scene, or narrative segment.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff519b65f081909902ba83b775ef85 |
completed | May 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69ff506fccdc8190bd93269589040aed |
completed | May 9, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69ff519a67008190b1eda931fdeff53e |
completed | May 9, 2026, 3:24 p.m. |
Created at: May 1, 2026, 1:46 a.m.