Triple
T12171517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Tyson |
E289977
|
entity |
| Predicate | siblingOf |
P363
|
FINISHED |
| Object | Rayna Tyson |
E289975
|
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: Rayna Tyson | Statement: [Miguel Tyson, siblingOf, Rayna Tyson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rayna Tyson Context triple: [Miguel Tyson, siblingOf, Rayna Tyson]
-
A.
Rayna Tyson
chosen
Rayna Tyson is the daughter of former heavyweight boxing champion Mike Tyson.
-
B.
Rayna Jaymes
Rayna Jaymes is a fictional country music superstar and central character on the television series "Nashville."
-
C.
Katjana Ballantyne
Katjana Ballantyne is an American politician who serves as the mayor of Somerville, Massachusetts.
-
D.
Rachel Cory
Rachel Cory is a central, long-running matriarchal character from the American soap opera "Another World," known for her complex evolution from scheming antagonist to respected heroine.
-
E.
Raven Shaddock
Raven Shaddock is the sadistic, leather-clad leader of a biker gang and the main antagonist in the 1984 rock-and-roll action film "Streets of Fire."
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a88b3b08190aef789b1965bbe80 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:50 p.m.