Triple
T2191838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joel Embiid |
E49878
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Embiid |
E49878
|
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: Embiid | Statement: [Joel Embiid, familyName, Embiid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Embiid Context triple: [Joel Embiid, familyName, Embiid]
-
A.
Joel Embiid
chosen
Joel Embiid is a Cameroonian-American professional basketball center and NBA MVP known for his dominant two-way play and scoring prowess.
-
B.
Jahlil Okafor
Jahlil Okafor is an American professional basketball center and former Duke standout who was selected third overall in the 2015 NBA Draft by the Philadelphia 76ers.
-
C.
Ben Simmons
Ben Simmons is an Australian professional basketball player known for his elite playmaking and defense as a tall point forward in the NBA.
-
D.
Anthony Edwards
Anthony Edwards is an American actor best known for his role as Dr. Mark Greene on the television series "ER" and as Goose in the film "Top Gun."
-
E.
Anthony Edwards
Anthony Edwards is an explosive, high-scoring NBA guard widely regarded as the young franchise cornerstone of the Minnesota Timberwolves.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf48ceb48190956df39377df0548 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65427de48190be3dbc9c0a888332 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.