Triple
T18056416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannibal Rising |
E432049
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Pia Di Ciaula |
—
|
NE NERFINISHED |
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: Pia Di Ciaula | Statement: [Hannibal Rising, editor, Pia Di Ciaula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pia Di Ciaula Context triple: [Hannibal Rising, editor, Pia Di Ciaula]
-
A.
Pia Di Ciaula
chosen
Pia Di Ciaula is a film editor known for her work on acclaimed dramas, including the period film "Belle" (2013).
-
B.
Paula Ciccone
Paula Ciccone is an American artist and the younger sister of pop icon Madonna.
-
C.
Elena Cucci
Elena Cucci is an Italian actress known for her work in film and television, including roles in contemporary Italian dramas and comedies.
-
D.
Pia Desideria
Pia Desideria is a seminal 1675 devotional work by Philipp Jakob Spener that laid the theological and practical foundations of Lutheran Pietism.
-
E.
Mara Carfagna
Mara Carfagna is an Italian politician and former television showgirl who has served as a prominent minister and parliamentarian in center-right governments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c102d08081908d2419c898213400 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:26 a.m.