Triple
T37825860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Precinct |
E943056
|
entity |
| Predicate | seriesNumberInKayScarpettaSeries |
P195116
|
FINISHED |
| Object | 11 |
—
|
LITERAL 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: 11 | Statement: [The Last Precinct, seriesNumberInKayScarpettaSeries, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInKayScarpettaSeries Context triple: [The Last Precinct, seriesNumberInKayScarpettaSeries, 11]
-
A.
seriesNumberInWomen’sMurderClub
Indicates the position or installment number that a work occupies within the Women’s Murder Club series.
-
B.
seriesNumberInAgathaChristiesPoirot
Indicates the position or sequence number that an episode or installment holds within the TV series "Agatha Christie's Poirot."
-
C.
seriesNumberInKurtWallanderSeries
Indicates the position or installment number that a work occupies within the Kurt Wallander series.
-
D.
reporterSeriesNumber
Indicates the numerical designation of a particular series within a set of reports or reporter publications.
-
E.
seriesNumberInAlexCrossSeries
Indicates the position or installment number that a work occupies within the Alex Cross series.
- F. None of above. chosen
Provenance (4 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
| PDg | Predicate description generation | batch_69fda4fe67a08190bdaa84ceabd6de6c |
completed | May 8, 2026, 8:55 a.m. |
Created at: May 3, 2026, 4:19 p.m.