Triple
T4400271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Riggins |
E93597
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Riggo |
E54863
|
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: Riggo | Statement: [John Riggins, nickname, Riggo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riggo Context triple: [John Riggins, nickname, Riggo]
-
A.
Riggo
chosen
Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
-
B.
Guglielmino
Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
-
C.
Rinaldi
Rinaldi is the jovial, womanizing Italian army surgeon and close friend of Frederic Henry in Ernest Hemingway’s novel "A Farewell to Arms."
-
D.
Rugantino
Rugantino is a dramatic work by Gothic novelist and playwright Matthew Gregory Lewis, likely reflecting his flair for dark, sensational storytelling.
-
E.
Rocco
Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cd71ec8190a62320fd072f744f |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5f2310c8190934ba9768b68dd45 |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:28 p.m.