Triple
T7837294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eloise book series |
E181717
|
entity |
| Predicate | hasBook |
P29317
|
FINISHED |
| Object | Eloise |
E698803
|
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: Eloise | Statement: [Eloise book series, hasBook, Eloise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eloise Context triple: [Eloise book series, hasBook, Eloise]
-
A.
Eloise
Eloise is the given first name of American actress Isabel Sanford, best known for her role as Louise "Weezy" Jefferson on the sitcom The Jeffersons.
-
B.
Eloise
chosen
Eloise is a spirited, mischievous little girl who lives in New York’s Plaza Hotel and stars in Kay Thompson’s classic children’s book series.
-
C.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
D.
Georgette
Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
-
E.
Madeleine
Madeleine is a feminine given name, commonly used in French and English, derived from Magdalene and often associated with literary and cultural figures.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c203b4819099c039c617628927 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdef9afbc8190bf5c8f3cf37221b6 |
completed | March 31, 2026, 2:49 p.m. |
Created at: March 30, 2026, 4:46 p.m.