Triple
T6044330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannibal (novel) |
E134627
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Paul Krendler |
E549863
|
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: Paul Krendler | Statement: [Hannibal (novel), character, Paul Krendler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Krendler Context triple: [Hannibal (novel), character, Paul Krendler]
-
A.
Paul Krendler
chosen
Paul Krendler is a corrupt and antagonistic U.S. Justice Department official who serves as a key foil to Clarice Starling in the film "Hannibal."
-
B.
Peter Riedler
Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
-
C.
Joseph Sonnleithner
Joseph Sonnleithner was an Austrian librettist, lawyer, and cultural figure best known for writing the original libretto for Beethoven’s opera "Fidelio."
-
D.
Paul Knabenshue
Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
-
E.
Daniel Knauf
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e2b1148190908c4dc43abee266 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7616755d48190b285ff66ccd8bf3a |
completed | March 28, 2026, 5:04 a.m. |
Created at: March 22, 2026, 4:09 p.m.