Triple
T11532713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gail Goodrich |
E273461
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Stumpy
Stumpy is the nickname of Gail Goodrich, a Hall of Fame shooting guard best known for his starring role with the Los Angeles Lakers in the 1960s and 1970s.
|
E931201
|
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: Stumpy | Statement: [Gail Goodrich, nickname, Stumpy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stumpy Context triple: [Gail Goodrich, nickname, Stumpy]
-
A.
Stumpy
Stumpy is the elephant character that served as the official mascot of the 2011 ICC Cricket World Cup.
-
B.
Stumpy
Stumpy is a grizzled, limping old deputy known for his comic relief and fierce loyalty in the classic Western film "Rio Bravo."
-
C.
Stubby
Stubby is an internal remote procedure call (RPC) framework originally developed at Google that served as the precursor and design inspiration for gRPC.
-
D.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
-
E.
Scruffy
Scruffy is the laconic, mustachioed janitor of Planet Express in the animated television series Futurama.
- 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: Stumpy Triple: [Gail Goodrich, nickname, Stumpy]
Generated description
Stumpy is the nickname of Gail Goodrich, a Hall of Fame shooting guard best known for his starring role with the Los Angeles Lakers in the 1960s and 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stumpy Target entity description: Stumpy is the nickname of Gail Goodrich, a Hall of Fame shooting guard best known for his starring role with the Los Angeles Lakers in the 1960s and 1970s.
-
A.
Stumpy
Stumpy is a grizzled, limping old deputy known for his comic relief and fierce loyalty in the classic Western film "Rio Bravo."
-
B.
Stumpy
Stumpy is the elephant character that served as the official mascot of the 2011 ICC Cricket World Cup.
-
C.
Stubby
Stubby is an internal remote procedure call (RPC) framework originally developed at Google that served as the precursor and design inspiration for gRPC.
-
D.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
-
E.
Scruffy
Scruffy is the laconic, mustachioed janitor of Planet Express in the animated television series Futurama.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839a2c7081909c285d1f6beb971c |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e68577f5ec8190a46687119d288a36 |
completed | April 20, 2026, 7:58 p.m. |
| NEDg | Description generation | batch_69e68fd8210c8190a7b0bbd8a50ff6b1 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e69f12cfcc8190a06e0922c9faa49e |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:37 p.m.