Triple
T16846161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ask and the Answer |
E409543
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Mayor Prentiss |
E1106740
|
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: Mayor Prentiss | Statement: [The Ask and the Answer, character, Mayor Prentiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayor Prentiss Context triple: [The Ask and the Answer, character, Mayor Prentiss]
-
A.
Mayor McGerkle
Mayor McGerkle is a cheerful, well-meaning civic leader in the 2018 animated film "The Grinch," serving as the enthusiastic mayor of Whoville.
-
B.
Turk Malloy
Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
-
C.
Mayor Cole
Mayor Cole is the corrupt and self-serving leader of the underground city in Jeanne DuPrau’s dystopian novel "The City of Ember."
-
D.
Mayor Shelbourne
Mayor Shelbourne is the gluttonous, power-hungry mayor and primary antagonist in the animated film "Cloudy with a Chance of Meatballs."
-
E.
Mayor David Prentiss
chosen
Mayor David Prentiss is the authoritarian and manipulative leader of Prentisstown in Patrick Ness’s Chaos Walking series, known for exploiting the Noise to control others and pursue power.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3541a008190b2a97cfea92b170f |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1b47648190909eaaf4e1e8e4c3 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.