Triple
T20907443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lizzie |
E514839
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Lizzy |
—
|
NE NERFINISHED |
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: Lizzy | Statement: [Lizzie, hasVariantSpelling, Lizzy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lizzy Context triple: [Lizzie, hasVariantSpelling, Lizzy]
-
A.
Lizzie
Lizzie is a 2018 psychological thriller film starring Chloë Sevigny as Lizzie Borden, dramatizing the infamous 1892 axe murders in Fall River, Massachusetts.
-
B.
Lizzie
chosen
Lizzie is a common English feminine given name, often used as a diminutive of names like Elizabeth or Liza.
-
C.
Lizzie
Lizzie is the central sex worker protagonist in Jean-Paul Sartre’s play "The Respectful Prostitute," whose moral choices expose the hypocrisy and racism of the society around her.
-
D.
Liz
Liz is a common shortened form or nickname for the given name Elizabeth.
-
E.
Eliza
Eliza is a feminine given name of Hebrew origin, often considered a shortened form of Elizabeth and commonly used in English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e900ee7881909ab1046b40dca486 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.