Triple
T7942333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul McGuigan |
E184419
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Guigsy
Guigsy is the nickname of Paul McGuigan, the original bass guitarist and a founding member of the British rock band Oasis.
|
E697289
|
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: Guigsy | Statement: [Paul McGuigan, alsoKnownAs, Guigsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guigsy Context triple: [Paul McGuigan, alsoKnownAs, Guigsy]
-
A.
Gavvy
Gavvy is the nickname of Gavvy Cravath, an early 20th-century American Major League Baseball outfielder known for his powerful hitting and home run titles.
-
B.
Gus
Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
-
C.
Gus
Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
-
D.
Gus
Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
-
E.
Gus
Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
- 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: Guigsy Triple: [Paul McGuigan, alsoKnownAs, Guigsy]
Generated description
Guigsy is the nickname of Paul McGuigan, the original bass guitarist and a founding member of the British rock band Oasis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guigsy Target entity description: Guigsy is the nickname of Paul McGuigan, the original bass guitarist and a founding member of the British rock band Oasis.
-
A.
Gavvy
Gavvy is the nickname of Gavvy Cravath, an early 20th-century American Major League Baseball outfielder known for his powerful hitting and home run titles.
-
B.
Gus
Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
-
C.
Gus
Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
-
D.
Gus
Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
-
E.
Gus
Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0c16b8819093c5d1719cd65ee3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c1265008190a97ccedf92f9234e |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f23d11c8190a29f28337f1db419 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76d2dff8819085ad9e10baad1537 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:09 p.m.