Triple
T19881589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragon's Fire |
E477786
|
entity |
| Predicate | seriesNumberWithinSubsequence |
P61667
|
FINISHED |
| Object | second novel in the "Third Pass" sub-sequence |
—
|
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: second novel in the "Third Pass" sub-sequence | Statement: [Dragon's Fire, seriesNumberWithinSubsequence, second novel in the "Third Pass" sub-sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberWithinSubsequence Context triple: [Dragon's Fire, seriesNumberWithinSubsequence, second novel in the "Third Pass" sub-sequence]
-
A.
seriesNumberInCarryOn
Indicates that an item has a specific series or sequence number within a set of carry-on items.
-
B.
hasSeriesNumber
chosen
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
C.
hasPartOfSeriesPosition
Indicates that an entity occupies a specific position or order within a larger series or sequence.
-
D.
serialNumberInSeason
Indicates the position or sequence number that something holds within a particular season.
-
E.
sequenceInCategory
Indicates that one entity occurs as an ordered element within a specific category or grouping of items.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658df3f5c81909b5b290de91b8d50 |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.