Triple
T1211335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flivver |
E26005
|
entity |
| Predicate | relatedTerm |
P37
|
FINISHED |
| Object | Lizzie |
unclear NED1
|
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: Lizzie | Statement: [Flivver, relatedTerm, Lizzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lizzie Context triple: [Flivver, relatedTerm, Lizzie]
-
A.
Lizzie Eustace
Lizzie Eustace is a central, scheming heiress character in Anthony Trollope’s Palliser novels, known for her beauty, manipulation, and involvement in social and marital intrigues.
-
B.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
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.
Evelyn
Evelyn is a given name shared by G. Evelyn Hutchinson, a prominent 20th-century British-born American ecologist often called the "father of modern ecology."
-
E.
Abigail
Abigail is a feminine given name of Hebrew origin meaning "my father is joy," historically popular in English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde581308190bbe30683bf6c48c3 |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf17a0cc819086da05f419e63e5a |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:46 p.m.