Triple
T4367467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willie Nelson |
E98810
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Annie D'Angelo |
E98810
|
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: Annie D'Angelo | Statement: [Willie Nelson, spouse, Annie D'Angelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annie D'Angelo Context triple: [Willie Nelson, spouse, Annie D'Angelo]
-
A.
Annie D'Angelo
chosen
Annie D'Angelo is an American makeup artist best known as the longtime wife of country music legend Willie Nelson.
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Annie Montrose
Annie Montrose is the sharp-tongued, media-savvy NASA Director of Media Relations in Andy Weir’s science fiction novel (and its film adaptation) "The Martian."
-
D.
Annie Corley
Annie Corley is an American actress known for her supporting roles in films such as "The Bridges of Madison County" and various television series.
-
E.
Annie Reisinger
Annie Reisinger was the wife of influential Austrian economist and political scientist Joseph Schumpeter.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35201be7081908808e81634060f95 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcec90881908fe83c83119d99fe |
completed | March 14, 2026, 10:06 p.m. |
Created at: March 12, 2026, 11:17 p.m.