Triple
T1688575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bettina |
E36497
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Elise |
E164185
|
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: Elise | Statement: [Bettina, hasRelatedName, Elise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elise Context triple: [Bettina, hasRelatedName, Elise]
-
A.
Elise
chosen
Elise is a given name associated with the Austrian-Swedish physicist Lise Meitner, a pioneer in nuclear fission research.
-
B.
Elise Sellas
Elise Sellas is a free-spirited contemporary ballet dancer whose chance encounters with politician David Norris challenge the fate-controlling powers in the film "The Adjustment Bureau."
-
C.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
-
D.
Elisa
Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
-
E.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6296655c8190835ec0d20f7460ca |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0cb18348190baf7a30c231c7349 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:29 p.m.