Triple
T15191347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitus |
E363016
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Guido |
E22196
|
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: Guido | Statement: [Vitus, hasCognate, Guido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guido Context triple: [Vitus, hasCognate, Guido]
-
A.
Guido
chosen
Guido is a masculine given name of Italian origin, famously borne by Guido van Rossum, the creator of the Python programming language.
-
B.
Guido
Guido is a small, enthusiastic Italian forklift from Pixar's Cars franchise who works as Luigi's tire-changing assistant in Radiator Springs.
-
C.
Guido
Guido is a character associated with Joel Goodson in the 1983 film "Risky Business," often linked to the movie’s themes of youthful risk and moral ambiguity.
-
D.
Count Guido Franceschini
Count Guido Franceschini is the aristocratic Italian husband and murderer at the center of Robert Browning’s verse novel "The Ring and the Book," whose trial and crime drive the poem’s dramatic exploration of truth and morality.
-
E.
Guido Bruno
Guido Bruno was an early 20th-century Greenwich Village bohemian, editor, and publisher known for promoting avant-garde and controversial literature.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec8995bb08190bd7f0be0a0fcf1e7 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:10 a.m.