Triple
T7216320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Gooden |
E149544
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gooden |
E149542
|
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: Gooden | Statement: [Dwight Gooden, familyName, Gooden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gooden Context triple: [Dwight Gooden, familyName, Gooden]
-
A.
Gooden
chosen
Gooden is a surname most notably associated with former Major League Baseball pitcher Dwight "Doc" Gooden, a dominant star of the 1980s New York Mets.
-
B.
Goode
Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
-
C.
Elgood
Elgood is a small unincorporated community located in the state of West Virginia, United States.
-
D.
Livengood
Livengood is a small unincorporated community in central Alaska known historically for gold mining and its proximity to major transportation routes such as the Elliott Highway and the Trans-Alaska Pipeline corridor.
-
E.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99000dc81908ef4b70729cc00b0 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbfb46388190992cc98039e71748 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:53 p.m.