Triple
T20452985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Hawke |
E501701
|
entity |
| Predicate | hasMusicSingle |
P20452
|
FINISHED |
| Object |
Thérèse
"Thérèse" is an indie-folk single by American singer-songwriter and actress Maya Hawke, noted for its introspective lyrics and atmospheric sound.
|
E1431014
|
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: Thérèse | Statement: [Maya Hawke, hasMusicSingle, Thérèse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thérèse Context triple: [Maya Hawke, hasMusicSingle, Thérèse]
-
A.
Therese
Therese is a feminine given name of French origin, commonly associated with Christian saints and used in various European cultures.
-
B.
Bénédicte
Bénédicte is the given name of Louise Bénédicte de Bourbon, a French noblewoman of the House of Bourbon.
-
C.
Thérèse Desqueyroux
Thérèse Desqueyroux is a French drama film adaptation of François Mauriac’s novel, centered on a woman trapped in a stifling bourgeois marriage in 1920s provincial France.
-
D.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
E.
Geneviève
Geneviève is a character in Claude Debussy’s opera "Pelléas et Mélisande," typically portrayed as the mother of Pelléas and Golaud and a figure of quiet, dignified authority within the story.
- 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: Thérèse Triple: [Maya Hawke, hasMusicSingle, Thérèse]
Generated description
"Thérèse" is an indie-folk single by American singer-songwriter and actress Maya Hawke, noted for its introspective lyrics and atmospheric sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thérèse Target entity description: "Thérèse" is an indie-folk single by American singer-songwriter and actress Maya Hawke, noted for its introspective lyrics and atmospheric sound.
-
A.
Therese
Therese is a feminine given name of French origin, commonly associated with Christian saints and used in various European cultures.
-
B.
Bénédicte
Bénédicte is the given name of Louise Bénédicte de Bourbon, a French noblewoman of the House of Bourbon.
-
C.
Thérèse Desqueyroux
Thérèse Desqueyroux is a French drama film adaptation of François Mauriac’s novel, centered on a woman trapped in a stifling bourgeois marriage in 1920s provincial France.
-
D.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
E.
Geneviève
Geneviève is a character in Claude Debussy’s opera "Pelléas et Mélisande," typically portrayed as the mother of Pelléas and Golaud and a figure of quiet, dignified authority within the story.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08840acbb881909f91f98b5ef793db |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0884e34df48190bdd70c346899e9cf |
completed | May 16, 2026, 2:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0885b207788190b37d0e78277c9dda |
completed | May 16, 2026, 2:56 p.m. |
Created at: April 16, 2026, 11:32 a.m.