Triple
T4874643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonzalo |
E109170
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Gonzo |
E326082
|
NE FINISHED |
How this triple was built (2 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: Gonzo | Statement: [Gonzalo, hasDiminutive, Gonzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gonzo Context triple: [Gonzalo, hasDiminutive, Gonzo]
-
A.
Gonzo the Great
chosen
Gonzo the Great is a daredevil, eccentric blue Muppet known for his bizarre stunts and offbeat sense of humor in The Muppet Show franchise.
-
B.
Dr. Gonzo
Dr. Gonzo is the wild, unpredictable attorney and drug-fueled companion of Raoul Duke in Hunter S. Thompson’s "Fear and Loathing in Las Vegas."
-
C.
Gobbo
Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
-
D.
Cooger
Cooger is one of the sinister carnival proprietors in Ray Bradbury's novel "Something Wicked This Way Comes," serving as a central embodiment of its dark, supernatural menace.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6da1b45881909d45cb1214f5bdde |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67f90e848190a36eee1e670657e4 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.