Triple
T20059275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross |
E499424
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Scott Cross
Scott Cross is an American college basketball coach best known for leading the UT Arlington Mavericks to multiple successful seasons and postseason appearances.
|
E1409945
|
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: Scott Cross | Statement: [Cross, hasNotableBearer, Scott Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Cross Context triple: [Cross, hasNotableBearer, Scott Cross]
-
A.
David C. Cross
David C. Cross was a prominent figure in Arkansas history for whom Cross County was named, likely due to his significant local influence or public service.
-
B.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
C.
Gary Cross
Gary Cross is a historian and author known for his work on the cultural history of consumerism, leisure, and childhood in the modern world.
-
D.
Larry Cross
Larry Cross is an actor known for his role in the film "Embassy."
-
E.
Alex McDonough
Alex McDonough is a fictional attorney character from the comedy film "I Now Pronounce You Chuck & Larry."
- 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: Scott Cross Triple: [Cross, hasNotableBearer, Scott Cross]
Generated description
Scott Cross is an American college basketball coach best known for leading the UT Arlington Mavericks to multiple successful seasons and postseason appearances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scott Cross Target entity description: Scott Cross is an American college basketball coach best known for leading the UT Arlington Mavericks to multiple successful seasons and postseason appearances.
-
A.
David C. Cross
David C. Cross was a prominent figure in Arkansas history for whom Cross County was named, likely due to his significant local influence or public service.
-
B.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
C.
Gary Cross
Gary Cross is a historian and author known for his work on the cultural history of consumerism, leisure, and childhood in the modern world.
-
D.
Larry Cross
Larry Cross is an actor known for his role in the film "Embassy."
-
E.
Alex McDonough
Alex McDonough is a fictional attorney character from the comedy film "I Now Pronounce You Chuck & Larry."
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66373e0e08190a6d8a10084eecc4d |
completed | April 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f33d7808190b71c69701fc85a02 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a0820d8d2c48190b8c75fc59e43462a |
completed | May 16, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08212942e88190a385e094a27b3ede |
completed | May 16, 2026, 7:47 a.m. |
Created at: April 11, 2026, 3:38 p.m.