Triple
T8987383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth |
E214701
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Lizzie |
E514839
|
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: [Beth, hasRelatedName, Lizzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lizzie Context triple: [Beth, hasRelatedName, Lizzie]
-
A.
Lizzie
chosen
Lizzie is a common English feminine given name, often used as a diminutive of names like Elizabeth or Liza.
-
B.
Liz
Liz is a common shortened form or nickname for the given name Elizabeth.
-
C.
Lizzie Douglas
Lizzie Douglas, better known as Memphis Minnie, was a pioneering and influential American blues guitarist, vocalist, and songwriter active from the 1920s through the 1950s.
-
D.
Lizzie Stark
Lizzie Stark is a recurring character in the British crime drama series "Peaky Blinders," known for her complex relationship with Tommy Shelby and her evolution from sex worker to a central figure in the Shelby family’s affairs.
-
E.
Lizzie Spender
Lizzie Spender is a British poet and writer, known for her literary work and as the daughter of poet Stephen Spender.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ef19108190ac518c4f744b6d60 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb51c9fc81908d86858f10c9ab62 |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:04 p.m.