Triple
T5550996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvonne De Carlo |
E145524
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yvonne |
E379250
|
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: Yvonne | Statement: [Yvonne De Carlo, givenName, Yvonne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvonne Context triple: [Yvonne De Carlo, givenName, Yvonne]
-
A.
Yvonne
chosen
Yvonne is a feminine given name of French origin, derived from "yew" and historically associated with archery and nobility.
-
B.
Yvette
Yvette is the given first name of the acclaimed American singer Chaka Khan.
-
C.
Vivien
Vivien is a famous Pre-Raphaelite painting by Frederic Sandys depicting the Arthurian enchantress often associated with Merlin.
-
D.
Yvonne Spenceley
Yvonne Spenceley is best known as the first wife of Maurice Gibb, a member of the Bee Gees.
-
E.
Vivian
Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe3e7788190aa5361b083197c17 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059e39b7c81908c5eb3e940366562 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:35 p.m.