Triple
T18590746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chan Parker |
E454359
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Parker |
—
|
NE NERFINISHED |
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: Parker | Statement: [Chan Parker, familyName, Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parker Context triple: [Chan Parker, familyName, Parker]
-
A.
Parker
chosen
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
-
B.
Parker
Parker is a suburban town in Colorado located along the eastern edge of the Denver metropolitan area.
-
C.
Parker
Parker is a central criminal antihero in the neo-noir crime film "The Way of the Gun," known for his ruthless pragmatism and involvement in a high-stakes kidnapping plot.
-
D.
Parker
Parker is the gruff, pragmatic chief engineer aboard the commercial starship Nostromo in the science fiction horror film "Alien."
-
E.
Parker
Parker is a character associated with the IYS Insurance brand, likely featured in its marketing or promotional materials.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b5bc688190bdfe3911ac6b2d76 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.