Triple
T29766325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of the Weeds |
E753918
|
entity |
| Predicate | seriesNumberInMikeHammer |
P179934
|
FINISHED |
| Object | late-series installment |
—
|
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: late-series installment | Statement: [King of the Weeds, seriesNumberInMikeHammer, late-series installment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInMikeHammer Context triple: [King of the Weeds, seriesNumberInMikeHammer, late-series installment]
-
A.
seriesOrderInMikeHammer
chosen
Indicates the position or sequence of an item within the Mike Hammer series.
-
B.
seriesNumberInWomen’sMurderClub
Indicates the position or installment number that a work occupies within the Women’s Murder Club series.
-
C.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
-
D.
seriesNumberInSwordOfHonourTrilogy
Indicates the position or installment number that a work occupies within the "Sword of Honour" trilogy series.
-
E.
seriesNumberOfWorks
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
- F. None of above.
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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 28, 2026, 8:38 p.m.