Triple
T20178852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uno |
E492671
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Merle Robbins
Merle Robbins was an American barber and game inventor best known for creating the popular card game Uno.
|
E1417194
|
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: Merle Robbins | Statement: [Uno, designer, Merle Robbins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merle Robbins Context triple: [Uno, designer, Merle Robbins]
-
A.
Dody Teachman
Dody Teachman is an American figure skating coach best known for working with former U.S. champion Tonya Harding.
-
B.
Merritt Butrick
Merritt Butrick was an American actor best known for his roles in the TV series "Square Pegs" and as David Marcus in the "Star Trek" film franchise.
-
C.
Leslie Robinson
Leslie Robinson is known as the child of American actor and comedian Craig Robinson.
-
D.
Gil Robbins
Gil Robbins was an American folk musician and actor, best known as a member of the Highwaymen and for his work in the 1960s folk scene.
-
E.
Gaylen Ross
Gaylen Ross is an American actress and documentary filmmaker best known for her role as Francine in George A. Romero’s classic horror film "Dawn of the Dead."
- 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: Merle Robbins Triple: [Uno, designer, Merle Robbins]
Generated description
Merle Robbins was an American barber and game inventor best known for creating the popular card game Uno.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Merle Robbins Target entity description: Merle Robbins was an American barber and game inventor best known for creating the popular card game Uno.
-
A.
Dody Teachman
Dody Teachman is an American figure skating coach best known for working with former U.S. champion Tonya Harding.
-
B.
Merritt Butrick
Merritt Butrick was an American actor best known for his roles in the TV series "Square Pegs" and as David Marcus in the "Star Trek" film franchise.
-
C.
Leslie Robinson
Leslie Robinson is known as the child of American actor and comedian Craig Robinson.
-
D.
Gil Robbins
Gil Robbins was an American folk musician and actor, best known as a member of the Highwaymen and for his work in the 1960s folk scene.
-
E.
Gaylen Ross
Gaylen Ross is an American actress and documentary filmmaker best known for her role as Francine in George A. Romero’s classic horror film "Dawn of the Dead."
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c7b9fa08190bbf3c3da21ab21ba |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a084094eccc8190834a1335f3b70411 |
completed | May 16, 2026, 10:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0841a3f8e0819099c13e76d5f4285d |
completed | May 16, 2026, 10:06 a.m. |
Created at: April 11, 2026, 11:36 p.m.