Triple
T24918080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Bombay |
E624042
|
entity |
| Predicate | roleInD2 |
P162069
|
FINISHED |
| Object | coach of Team USA at the Junior Goodwill Games |
—
|
LITERAL 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: coach of Team USA at the Junior Goodwill Games | Statement: [Gordon Bombay, roleInD2, coach of Team USA at the Junior Goodwill Games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInD2 Context triple: [Gordon Bombay, roleInD2, coach of Team USA at the Junior Goodwill Games]
-
A.
roleInDiablo
Indicates the specific function, position, or character type an entity has within the context of the Diablo game series.
-
B.
roleInDiabloIIResurrected
Indicates the specific role, function, or involvement an entity has within the game *Diablo II: Resurrected*.
-
C.
roleInShadowlands
Indicates that one entity has a specific function, position, or significance within the context of the Shadowlands.
-
D.
roleInWarcraft
Indicates that an entity has a specific character, class, or functional role within the Warcraft universe or game setting.
-
E.
roleAtRagnarok
Indicates the specific function, position, or part an entity is expected to have or perform during Ragnarok.
- F. None of above. chosen
Provenance (4 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 18, 2026, 5:28 a.m.