Triple
T13882005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zip |
E333739
|
entity |
| Predicate | performedBy |
P1363
|
FINISHED |
| Object | Vivienne Segal |
E375442
|
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: Vivienne Segal | Statement: [Zip, performedBy, Vivienne Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivienne Segal Context triple: [Zip, performedBy, Vivienne Segal]
-
A.
Vivienne Segal
chosen
Vivienne Segal was an American actress and singer best known as a leading lady of Broadway musicals in the early to mid-20th century.
-
B.
Sterna Segal
Sterna Segal was the wife of Rabbi Shneur Zalman of Liadi, the founder of Chabad Hasidism, and a respected matriarch in early Chabad history.
-
C.
Barbara Siegel
Barbara Siegel is an American author best known for co-writing numerous science fiction and fantasy novels and game-related books, often in collaboration with her husband Scott Siegel.
-
D.
Youra Livchitz
Youra Livchitz was a Belgian Jewish resistance fighter during World War II, best known for helping to stop a Nazi deportation train carrying Jews to Auschwitz in 1943.
-
E.
Maxine Feibelman
Maxine Feibelman is an American woman best known as the former wife and muse of lyricist Bernie Taupin, inspiring several classic Elton John songs.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be8566881908b8902e3cd567669 |
completed | April 14, 2026, 9:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd466d5f1c81909accae028184b857 |
completed | May 8, 2026, 2:11 a.m. |
Created at: April 9, 2026, 10:15 p.m.