Triple
T14751525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Black |
E346618
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Billy Black |
E346617
|
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: Billy Black | Statement: [Sarah Black, spouse, Billy Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billy Black Context triple: [Sarah Black, spouse, Billy Black]
-
A.
Billy Black
chosen
Billy Black is a Quileute elder and wheelchair user in the Twilight series, known for his close friendship with Charlie Swan and his role in preserving tribal legends and secrets.
-
B.
Alan Black
Alan Black is a Northern Irish man known for being the sole survivor of the 1976 Kingsmill massacre during the Troubles.
-
C.
Billy Blaze
Billy Blaze is the young genius alter ego of Commander Keen, the protagonist of the classic id Software platform game series.
-
D.
Jay Black
Jay Black was an American singer best known as the lead vocalist of the 1960s rock group Jay and the Americans, recognized for his powerful voice and hits like "Cara Mia" and "Come a Little Bit Closer."
-
E.
Jay Black
Jay Black is an American stand-up comedian and writer known for his energetic storytelling and work in both live comedy and television.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9a56a08190b6a178cd930a072d |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.