Triple
T8530629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Mancini |
E201936
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mancini |
E186614
|
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: Mancini | Statement: [Laura Mancini, familyName, Mancini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mancini Context triple: [Laura Mancini, familyName, Mancini]
-
A.
Mancini
chosen
Mancini is an Italian surname borne by numerous notable figures in fields such as politics, sports, and the arts.
-
B.
Marco Mancini
Marco Mancini is an Italian intelligence official known for his long career in Italy’s secret services and involvement in several high-profile national security cases.
-
C.
Giovanni Mancini
Giovanni Mancini is an individual notable enough to be recognized as a prominent bearer of the surname Mancini.
-
D.
Ranieri
Ranieri was the birth name of Pope Paschal II, a 12th-century head of the Catholic Church known for his role in the Investiture Controversy.
-
E.
Enrico Nicola Mancini
Enrico Nicola Mancini, better known as Henry Mancini, was an American composer, conductor, and arranger renowned for his iconic film and television scores such as "The Pink Panther" and "Moon River."
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe67546248190b359c845c0161ad3 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d68d14c81908bde8ca0113f9503 |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:17 p.m.