Triple
T12113262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivers family |
E288487
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Doc Rivers |
E2069
|
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: Doc Rivers | Statement: [Rivers family, notableMember, Doc Rivers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doc Rivers Context triple: [Rivers family, notableMember, Doc Rivers]
-
A.
Doc Rivers
chosen
Doc Rivers is an American former NBA player and championship-winning head coach best known for leading the Boston Celtics to the 2008 NBA title.
-
B.
Derek Fisher
Derek Fisher is a former NBA point guard best known for winning five championships with the Los Angeles Lakers and for his clutch postseason performances.
-
C.
Derek Rivers
Derek Rivers is an American football defensive end who has played in the NFL, most notably after being drafted by the New England Patriots.
-
D.
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.
-
E.
Jon Spoelstra
Jon Spoelstra is an American sports marketing executive and author known for his innovative and influential work in NBA team marketing and management.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156814148190b47d63a89fcab17c |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f67d58d08190be45fb49f0084b49 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.