Triple
T24552730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ann Sothern Show |
E607415
|
entity |
| Predicate | hasStrongFemaleProtagonist |
P21355
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [The Ann Sothern Show, hasStrongFemaleProtagonist, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrongFemaleProtagonist Context triple: [The Ann Sothern Show, hasStrongFemaleProtagonist, true]
-
A.
hasStrongFemaleCharacters
Indicates that the work features prominent, well-developed female characters who display agency, complexity, and significant influence on the narrative or outcome.
-
B.
hasFemaleCharacter
Indicates that an entity includes or features at least one female character.
-
C.
hasFemaleAntagonistProtagonist
Indicates that the work features both a female antagonist and a female protagonist in central opposing roles.
-
D.
hasLeadCharacterGender
chosen
Indicates that the primary or lead character in a work has a specified gender.
-
E.
hasMaleProtagonist
Indicates that the primary main character in the work is male.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8cf1ef88190977da0fb79796616 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.