Triple
T16312949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Rich |
E396102
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Marcell |
E1054564
|
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: Marcell | Statement: [Marc Rich, givenName, Marcell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcell Context triple: [Marc Rich, givenName, Marcell]
-
A.
Marcell
chosen
Marcell is a masculine given name used in various cultures, often considered a variant of Marcel or Marcus.
-
B.
Marcellino
Marcellino is an Italian given name, typically used as a diminutive or affectionate form of Marcello.
-
C.
Carlone
Carlone is an Italian surname, historically associated with several notable artists and architects from the Renaissance and Baroque periods.
-
D.
Famedio
Famedio is a grand memorial chapel and pantheon within Milan’s Monumental Cemetery, dedicated to honoring the city’s most illustrious citizens.
-
E.
Clotaldo
Clotaldo is a loyal and conflicted courtier and soldier in Pedro Calderón de la Barca’s play "La vida es sueño," serving as Segismundo’s guardian and a key figure in the drama’s moral and political tensions.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dc30f48190b508220429b66e92 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa6ceb48190b937a15b94fd3cfa |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.