Triple
T9510355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aline Brosh McKenna |
E229374
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aline |
E388622
|
NE 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: Aline | Statement: [Aline Brosh McKenna, givenName, Aline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aline Context triple: [Aline Brosh McKenna, givenName, Aline]
-
A.
Aline
chosen
Aline is a feminine given name of French origin, commonly used in various cultures and languages.
-
B.
Béline
Béline is the hypocritical and scheming second wife of Argan in Molière’s comedy "Le Malade imaginaire."
-
C.
Léa
Léa is a French feminine given name commonly used in Francophone countries.
-
D.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
-
E.
Liliane
Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9868616c8190856f89fecfa1a02e |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a31600c8190a4a7ecb5231caa36 |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:58 p.m.