Triple
T10682316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricki and the Flash |
E251787
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Greg |
E97768
|
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: Greg | Statement: [Ricki and the Flash, character, Greg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Context triple: [Ricki and the Flash, character, Greg]
-
A.
Greg
chosen
Greg is a male given name commonly used in English-speaking countries, often as a short form of Gregory.
-
B.
Gregg
Gregg is a given name, typically a variant spelling of the name Greg.
-
C.
Gregg
Gregg is a small rural community located within the township of Edwardsburgh/Cardinal in Ontario, Canada.
-
D.
Guy
Guy is a masculine given name of French origin that has been widely used in English-speaking countries.
-
E.
Guy
Guy is an influential American R&B group, central to the development of the new jack swing sound in the late 1980s and early 1990s.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacf1a43c8190869f4a64f9d6a26c |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.