Triple
T19426760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florenz Ziegfeld Jr. |
E485998
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Florenz |
—
|
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: Florenz | Statement: [Florenz Ziegfeld Jr., givenName, Florenz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florenz Context triple: [Florenz Ziegfeld Jr., givenName, Florenz]
-
A.
Florenz
chosen
Florenz was the first name of Florenz Ziegfeld Jr., the influential American Broadway impresario best known for creating the Ziegfeld Follies.
-
B.
Fritzie
Fritzie was the ring nickname of Fritzie Zivic, a rugged and crafty American welterweight boxing champion active in the 1930s and 1940s.
-
C.
Florentin
Florentin is a gritty, bohemian neighborhood in south Tel Aviv known for its street art, nightlife, and mix of artists, students, and light industry.
-
D.
Florentin
Florentin is a late 18th-century German novel by Dorothea Schlegel that explores themes of identity, society, and romanticism within the early German Romantic movement.
-
E.
Fayard
Fayard is a prominent French publishing house known for its literary works, essays, and non-fiction titles.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63219f27481909fe686209defc971 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.