Triple
T28143055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindsay Boxer |
E714401
|
entity |
| Predicate | seriesNumberInTitlePattern |
P71619
|
FINISHED |
| Object | numbered titles ending with “to Die,” “to Try,” “to Kill,” etc. |
—
|
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: numbered titles ending with “to Die,” “to Try,” “to Kill,” etc. | Statement: [Lindsay Boxer, seriesNumberInTitlePattern, numbered titles ending with “to Die,” “to Try,” “to Kill,” etc.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInTitlePattern Context triple: [Lindsay Boxer, seriesNumberInTitlePattern, numbered titles ending with “to Die,” “to Try,” “to Kill,” etc.]
-
A.
consecutiveTitleNumber
Indicates that one entity’s title number immediately follows another’s in a sequential ordering.
-
B.
hasSeriesNumber
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
C.
seriesNumberInCarryOn
Indicates that an item has a specific series or sequence number within a set of carry-on items.
-
D.
seriesTitleElement
chosen
Indicates that the value represents a component or segment of the title of a series to which a resource belongs.
-
E.
filmSeriesInstallmentNumber
Indicates the specific sequential position that a film occupies within a film series.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 9:54 p.m.