Triple
T4256963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heloise Durant Rose |
E95997
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Heloise |
E95997
|
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: Heloise | Statement: [Heloise Durant Rose, givenName, Heloise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heloise Context triple: [Heloise Durant Rose, givenName, Heloise]
-
A.
Isabelle
Isabelle is a popular character from the Animal Crossing series who also appears as a playable racer in Mario Kart 8.
-
B.
Honorine
Honorine is a feminine given name of French origin, used both as a standalone first name and as part of compound names.
-
C.
Therese
Therese is a feminine given name of French origin, commonly associated with Christian saints and used in various European cultures.
-
D.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
E.
Heloise Durant Rose
chosen
Heloise Durant Rose was an American writer and editor from the prominent Durant family, known for her literary work and cultural influence in the late 19th and early 20th centuries.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec321008190b2cc1aca6ab690c4 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88d3bf48190b26eb8ab848d320e |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.