Triple
T11928684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Rivers |
E283853
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Derek Rivers |
E283853
|
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: Derek Rivers | Statement: [Derek Rivers, name, Derek Rivers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Rivers Context triple: [Derek Rivers, name, Derek Rivers]
-
A.
Derek Rivers
chosen
Derek Rivers is an American football defensive end who has played in the NFL, most notably after being drafted by the New England Patriots.
-
B.
David Rivers
David Rivers is a former American professional basketball player best known for his standout college career at Notre Dame and subsequent play in the NBA and top European leagues.
-
C.
Deron Bennett
Deron Bennett is a professional comic book letterer known for his work on various titles across major publishers.
-
D.
Tony Delk
Tony Delk is a former American basketball guard best known for starring at the University of Kentucky in the mid-1990s and leading the Wildcats to the 1996 NCAA championship before playing in the NBA.
-
E.
Derek Anderson
Derek Anderson is a film producer best known for his work on major Hollywood action and science-fiction projects.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440611e648190b2c47b43f02d2e4b |
completed | May 1, 2026, 5:55 a.m. |
Created at: April 8, 2026, 9:45 p.m.