Triple
T6418931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl-Anthony Towns |
E127896
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Karl-Anthony
Karl-Anthony is the given first name of NBA All-Star center Karl-Anthony Towns.
|
E593288
|
NE FINISHED |
How this triple was built (4 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: Karl-Anthony | Statement: [Karl-Anthony Towns, givenName, Karl-Anthony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl-Anthony Context triple: [Karl-Anthony Towns, givenName, Karl-Anthony]
-
A.
Cole Anthony
Cole Anthony is an American professional basketball player and dynamic scoring point guard in the NBA.
-
B.
Trevor Ariza
Trevor Ariza is an American former professional basketball player best known as a versatile 3-and-D wing who won an NBA championship with the Los Angeles Lakers in 2009.
-
C.
O.J. Mayo
O.J. Mayo is an American professional basketball player and former NBA guard known for his scoring ability and later stints in international leagues.
-
D.
Mario Chalmers
Mario Chalmers is an American basketball player best known for his clutch three-point shooting, including a game-tying shot in the 2008 NCAA title game and for winning multiple NBA championships with the Miami Heat.
-
E.
Chris Paul
Chris Paul is an American professional basketball point guard widely regarded as one of the best playmakers and floor generals in NBA history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karl-Anthony Triple: [Karl-Anthony Towns, givenName, Karl-Anthony]
Generated description
Karl-Anthony is the given first name of NBA All-Star center Karl-Anthony Towns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karl-Anthony Target entity description: Karl-Anthony is the given first name of NBA All-Star center Karl-Anthony Towns.
-
A.
Cole Anthony
Cole Anthony is an American professional basketball player and dynamic scoring point guard in the NBA.
-
B.
Trevor Ariza
Trevor Ariza is an American former professional basketball player best known as a versatile 3-and-D wing who won an NBA championship with the Los Angeles Lakers in 2009.
-
C.
O.J. Mayo
O.J. Mayo is an American professional basketball player and former NBA guard known for his scoring ability and later stints in international leagues.
-
D.
Mario Chalmers
Mario Chalmers is an American basketball player best known for his clutch three-point shooting, including a game-tying shot in the 2008 NCAA title game and for winning multiple NBA championships with the Miami Heat.
-
E.
Chris Paul
Chris Paul is an American professional basketball point guard widely regarded as one of the best playmakers and floor generals in NBA history.
- F. None of above. chosen
Provenance (5 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0690194dc8190b3382bd5f92876b5 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640d2ab64819089e91525da60392b |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c644ec2ca48190997a118f8751cba5 |
completed | March 27, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6455961b881908f5804d9c0e86573 |
completed | March 27, 2026, 8:52 a.m. |
Created at: March 22, 2026, 4:42 p.m.