Triple
T15780911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Morales |
E382611
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Sara Pichelli |
E1161279
|
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: Sara Pichelli | Statement: [Rio Morales, creator, Sara Pichelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Pichelli Context triple: [Rio Morales, creator, Sara Pichelli]
-
A.
Sara Pichelli
chosen
Sara Pichelli is an Italian comic book artist best known for her work at Marvel Comics, including co-creating the Spider-Man character Miles Morales.
-
B.
Sara Serraiocco
Sara Serraiocco is an Italian actress known for her acclaimed film and television roles, including a prominent part in the sci-fi thriller series "Counterpart."
-
C.
Alicia Cazzaniga
Alicia Cazzaniga is an Argentine architect best known for co-designing the iconic modernist building of the National Library of Argentina in Buenos Aires.
-
D.
Heather Zichal
Heather Zichal is an American climate and energy policy expert who served as a senior adviser in the Obama administration, particularly on environmental and clean energy initiatives.
-
E.
Pilar Savone
Pilar Savone is a film producer best known for her work on Quentin Tarantino’s acclaimed Western crime film "Django Unchained."
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9987140c8190a50da103905a7930 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.