Triple
T15430291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ty Lawson |
E369619
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tywon
Tywon is the given first name of American professional basketball player Ty Lawson.
|
E1155624
|
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: Tywon | Statement: [Ty Lawson, givenName, Tywon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tywon Context triple: [Ty Lawson, givenName, Tywon]
-
A.
Tayvon
Tayvon is a hip-hop artist known for contributing a featured verse to the track "Loyalty Is Royalty."
-
B.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
C.
Orbey
Orbey is a commune in the Haut-Rhin department of northeastern France, situated in the Vosges mountains within the Alsace region.
-
D.
Tanneron
Tanneron is a commune in southeastern France’s Var department, known for its hilly landscapes and extensive mimosa forests overlooking the Mediterranean hinterland.
-
E.
Toria
Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
- 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: Tywon Triple: [Ty Lawson, givenName, Tywon]
Generated description
Tywon is the given first name of American professional basketball player Ty Lawson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tywon Target entity description: Tywon is the given first name of American professional basketball player Ty Lawson.
-
A.
Tayvon
Tayvon is a hip-hop artist known for contributing a featured verse to the track "Loyalty Is Royalty."
-
B.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
C.
Orbey
Orbey is a commune in the Haut-Rhin department of northeastern France, situated in the Vosges mountains within the Alsace region.
-
D.
Tanneron
Tanneron is a commune in southeastern France’s Var department, known for its hilly landscapes and extensive mimosa forests overlooking the Mediterranean hinterland.
-
E.
Toria
Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ed8ea888190bff8dc14859cca31 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a827d9081909fabc48bc685ba5b |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b4c13e08190b2ccee59da02d0ae |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bde8914819087d5d2ac88de34aa |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:21 a.m.