Triple
T29766152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Alley |
E753913
|
entity |
| Predicate | seriesOrderInMikeHammer |
P179934
|
FINISHED |
| Object | late novel in series |
—
|
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 novel in series | Statement: [Black Alley, seriesOrderInMikeHammer, late novel in series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesOrderInMikeHammer Context triple: [Black Alley, seriesOrderInMikeHammer, late novel in series]
-
A.
seriesOrderWithinUniverse
Indicates the position or sequence in which a work or installment occurs within a larger shared fictional universe or series continuity.
-
B.
seriesNumberInWomen’sMurderClub
Indicates the position or installment number that a work occupies within the Women’s Murder Club series.
-
C.
seriesNumberOfWorks
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
-
D.
seriesOrderOfFirstAppearance
Indicates the position in which an entity first appears within a series, relative to other entities in that same series.
-
E.
seriesNumberInSwordOfHonourTrilogy
Indicates the position or installment number that a work occupies within the "Sword of Honour" trilogy 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: April 28, 2026, 8:38 p.m.