Triple
T17320884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Durocher |
E420555
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Leo the Lip
Leo the Lip was the fiery, outspoken Major League Baseball manager and former shortstop Leo Durocher, famed for his combative style and sharp tongue.
|
E1263584
|
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: Leo the Lip | Statement: [Leo Durocher, nickname, Leo the Lip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leo the Lip Context triple: [Leo Durocher, nickname, Leo the Lip]
-
A.
The Lip
The Lip is a nickname famously associated with legendary American boxer Muhammad Ali, highlighting his quick wit and outspoken personality.
-
B.
Lippy the Lion
Lippy the Lion is a talkative, optimistic cartoon lion created by Hanna-Barbera who starred in early 1960s animated television shorts alongside his hyena sidekick Hardy Har Har.
-
C.
Winnie the Bish
Winnie the Bish is the playful nickname of Winston Bishop, a quirky and lovable character from the TV sitcom "New Girl."
-
D.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
-
E.
Lucky the Lion
Lucky the Lion is the costumed lion mascot representing Texas A&M University–Commerce at athletic events and school functions.
- 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: Leo the Lip Triple: [Leo Durocher, nickname, Leo the Lip]
Generated description
Leo the Lip was the fiery, outspoken Major League Baseball manager and former shortstop Leo Durocher, famed for his combative style and sharp tongue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leo the Lip Target entity description: Leo the Lip was the fiery, outspoken Major League Baseball manager and former shortstop Leo Durocher, famed for his combative style and sharp tongue.
-
A.
The Lip
The Lip is a nickname famously associated with legendary American boxer Muhammad Ali, highlighting his quick wit and outspoken personality.
-
B.
Lippy the Lion
Lippy the Lion is a talkative, optimistic cartoon lion created by Hanna-Barbera who starred in early 1960s animated television shorts alongside his hyena sidekick Hardy Har Har.
-
C.
Winnie the Bish
Winnie the Bish is the playful nickname of Winston Bishop, a quirky and lovable character from the TV sitcom "New Girl."
-
D.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
-
E.
Lucky the Lion
Lucky the Lion is the costumed lion mascot representing Texas A&M University–Commerce at athletic events and school functions.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439cf5394819089bff5f8dc2e8241 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c483e988190a481b4c487f79329 |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018d67ddd081909d227ae3405415ee |
completed | May 11, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0192dfff1881909aa87f5d23cda870 |
completed | May 11, 2026, 8:27 a.m. |
Created at: April 10, 2026, 5:43 a.m.