Triple
T14274831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon May |
E353887
|
entity |
| Predicate | wroteMusicFor |
P30214
|
FINISHED |
| Object | Petrocelli |
E572795
|
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: Petrocelli | Statement: [Simon May, wroteMusicFor, Petrocelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petrocelli Context triple: [Simon May, wroteMusicFor, Petrocelli]
-
A.
Petrocelli
chosen
Petrocelli is an Italian surname most notably associated with former Boston Red Sox All-Star infielder Rico Petrocelli.
-
B.
Paoletti
Paoletti is an Italian surname, likely related etymologically or familiarly to the name Paolone.
-
C.
Massignano
Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
-
D.
Giannini
Giannini is an Italian surname most famously associated with Amadeo P. Giannini, the pioneering founder of Bank of America.
-
E.
Cipriani
Cipriani is a surname most prominently associated with Juan Luis Cipriani Thorne, a Peruvian cardinal of the Roman Catholic Church and former Archbishop of Lima.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6582f5308190969f4cfd724d9139 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326d35808190bbf3f6bbc50554f4 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.