Triple
T24165549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Men at Arms |
E598970
|
entity |
| Predicate | seriesNumberInSwordOfHonourTrilogy |
P155561
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Men at Arms, seriesNumberInSwordOfHonourTrilogy, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInSwordOfHonourTrilogy Context triple: [Men at Arms, seriesNumberInSwordOfHonourTrilogy, 2]
-
A.
seriesNumberInTrilogy
Indicates the position or installment number that a work occupies within a specific trilogy.
-
B.
seriesNumberInThrawnTrilogy
Indicates the position or installment number that a work occupies within the Thrawn Trilogy series.
-
C.
hasNumberOfBooksInSeries
Indicates the quantity of books that belong to a particular series.
-
D.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
-
E.
literaryFranchiseEntryNumber
Indicates the position or installment number that a work occupies within a literary franchise or 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 17, 2026, 11:32 p.m.