Triple
T10926306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Ever After |
E258076
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Valente
Valente is a supporting character in the television sitcom "Zoe Ever After," involved in the personal and professional life of the main character, Zoe.
|
E893526
|
NE FINISHED |
How this triple was built (4 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: Valente | Statement: [Zoe Ever After, character, Valente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valente Context triple: [Zoe Ever After, character, Valente]
-
A.
Valentim
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
-
B.
Santanna
Santanna is a variant spelling of the Italian surname and place name Sant’Anna, commonly associated with individuals and locations in Italian-speaking regions.
-
C.
Tadeo
Tadeo is a masculine given name, commonly used in Spanish-speaking contexts, that corresponds to the Polish name Tadeusz.
-
D.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
E.
Severino
Severino is one of the many given names of Charles Edward Stuart, the 18th-century Jacobite claimant to the British throne known as "Bonnie Prince Charlie."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Valente Triple: [Zoe Ever After, character, Valente]
Generated description
Valente is a supporting character in the television sitcom "Zoe Ever After," involved in the personal and professional life of the main character, Zoe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valente Target entity description: Valente is a supporting character in the television sitcom "Zoe Ever After," involved in the personal and professional life of the main character, Zoe.
-
A.
Valentim
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
-
B.
Santanna
Santanna is a variant spelling of the Italian surname and place name Sant’Anna, commonly associated with individuals and locations in Italian-speaking regions.
-
C.
Tadeo
Tadeo is a masculine given name, commonly used in Spanish-speaking contexts, that corresponds to the Polish name Tadeusz.
-
D.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
E.
Severino
Severino is one of the many given names of Charles Edward Stuart, the 18th-century Jacobite claimant to the British throne known as "Bonnie Prince Charlie."
- F. None of above. chosen
Provenance (5 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709165188190aa30dd08deddade4 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e217369b648190914c58db6f6e0200 |
completed | April 17, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69e21d8aea2881908ac8f5225b8739c5 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21eb18a1881908ded331db89063ed |
completed | April 17, 2026, 11:51 a.m. |
Created at: April 8, 2026, 9:22 p.m.