Triple
T7363326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Mansueto |
E169805
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mansueto |
E169805
|
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: Mansueto | Statement: [Joe Mansueto, familyName, Mansueto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mansueto Context triple: [Joe Mansueto, familyName, Mansueto]
-
A.
Mansueto
chosen
Mansueto is an Italian-origin surname most notably associated with billionaire entrepreneur and Morningstar founder Joe Mansueto.
-
B.
Petrocelli
Petrocelli is an Italian surname most notably associated with former Boston Red Sox All-Star infielder Rico Petrocelli.
-
C.
Piermarini
Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
-
D.
Valentano
Valentano is a small historic town in the Lazio region of central Italy, known for its medieval architecture and ties to the Farnese noble family.
-
E.
Rutigliano
Rutigliano is a town and comune in the Apulia region of southern Italy, known for its agricultural traditions and historic architecture.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1603e1481909fb1dce2c9a7c577 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fab704008190ad07e12ead1a13ed |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:06 p.m.