Triple
T15209304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Joyner |
E363472
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Joyner |
E1085715
|
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: Joyner | Statement: [Tom Joyner, familyName, Joyner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joyner Context triple: [Tom Joyner, familyName, Joyner]
-
A.
Joyner
chosen
Joyner is a surname most prominently associated with American radio host Tom Joyner.
-
B.
Joyner
Joyner is a residential suburb located within the Moreton Bay Region in Queensland, Australia.
-
C.
Joner
"Joner" is a poetry collection by Swedish poet Katarina Frostenson, known for its dense, experimental language and exploration of identity and perception.
-
D.
Devereaux Jennings
Devereaux Jennings was a pioneering cinematographer best known as the founder of the American Society of Cinematographers, a key professional organization in the film industry.
-
E.
Joice
Joice is a feminine given name most notably borne by Joice Mujuru, a prominent Zimbabwean politician and former vice president.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076ad4ec81908d36f541fca08d72 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33dbda08190a10ba81082d0d183 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.