Triple
T16143674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Conley Jr. |
E391722
|
entity |
| Predicate | notableTeammate |
P2649
|
FINISHED |
| Object | Rudy Gobert |
E184410
|
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: Rudy Gobert | Statement: [Mike Conley Jr., notableTeammate, Rudy Gobert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudy Gobert Context triple: [Mike Conley Jr., notableTeammate, Rudy Gobert]
-
A.
Rudy Gobert
chosen
Rudy Gobert is a French professional basketball center, renowned as a multiple-time NBA Defensive Player of the Year and All-Star.
-
B.
Mohamed Bamba
Mohamed Bamba is the person after whom the viral 2017 hip-hop song "Mo Bamba" by rapper Sheck Wes is named.
-
C.
Nando De Colo
Nando De Colo is a French professional basketball player and prolific scorer known for his success in European leagues and with the French national team.
-
D.
Anthony Davis
Anthony Davis is an American professional basketball player and dominant two-way big man in the NBA, known for his elite shot-blocking, scoring, and multiple All-Star and All-NBA selections.
-
E.
Anthony Davis
Anthony Davis is a former American football running back who starred at USC in the early 1970s and later played professionally in the World Football League and the NFL.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d91925c81909839a4e2f189d23b |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b9322c8190a773681679f9ad79 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.