Triple
T23445511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13 Rivers |
E565523
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
O Cinderella
O Cinderella is a track featured on the album "13 Rivers" by English singer-songwriter Richard Thompson.
|
E1586649
|
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: O Cinderella | Statement: [13 Rivers, hasPart, O Cinderella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O Cinderella Context triple: [13 Rivers, hasPart, O Cinderella]
-
A.
Cinderella
Cinderella is a musical by Andrew Lloyd Webber that reimagines the classic fairy tale with a modern twist in story, character, and score.
-
B.
Cinderella
"Cinderella" is a popular studio album by Tanzanian singer Ali Kiba that helped solidify his status in the East African music scene.
-
C.
Cendrillon
Cendrillon is a French opera by Jules Massenet that offers a lyrical, romantic adaptation of the Cinderella fairy tale.
-
D.
La Cenerentola
La Cenerentola is an opera buffa by Gioachino Rossini that offers a comic, bel canto reimagining of the Cinderella fairy tale.
-
E.
The Truth About Cinderella
The Truth About Cinderella is a book by evolutionary psychologists Martin Daly and Margo Wilson that uses parental investment theory to explain patterns of child abuse and favoritism, famously coining the “Cinderella effect.”
- 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: O Cinderella Triple: [13 Rivers, hasPart, O Cinderella]
Generated description
O Cinderella is a track featured on the album "13 Rivers" by English singer-songwriter Richard Thompson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O Cinderella Target entity description: O Cinderella is a track featured on the album "13 Rivers" by English singer-songwriter Richard Thompson.
-
A.
Cinderella
Cinderella is a musical by Andrew Lloyd Webber that reimagines the classic fairy tale with a modern twist in story, character, and score.
-
B.
Cinderella
"Cinderella" is a popular studio album by Tanzanian singer Ali Kiba that helped solidify his status in the East African music scene.
-
C.
Cendrillon
Cendrillon is a French opera by Jules Massenet that offers a lyrical, romantic adaptation of the Cinderella fairy tale.
-
D.
La Cenerentola
La Cenerentola is an opera buffa by Gioachino Rossini that offers a comic, bel canto reimagining of the Cinderella fairy tale.
-
E.
The Truth About Cinderella
The Truth About Cinderella is a book by evolutionary psychologists Martin Daly and Margo Wilson that uses parental investment theory to explain patterns of child abuse and favoritism, famously coining the “Cinderella effect.”
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a647d6208190ba891252c8443fd4 |
completed | April 29, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67b9733c8190a5bb408df3d0940a |
completed | May 19, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a0c7217edc881909f582f0c726d7e61 |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76ed37b08190af81b4ae2dc7c028 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:51 p.m.