Triple
T14276417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Deadly Assassin |
E353926
|
entity |
| Predicate | storyNumberInClassicSeries |
P50204
|
FINISHED |
| Object | 88 |
—
|
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: 88 | Statement: [The Deadly Assassin, storyNumberInClassicSeries, 88]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyNumberInClassicSeries Context triple: [The Deadly Assassin, storyNumberInClassicSeries, 88]
-
A.
storyNumber
chosen
Indicates the numerical identifier assigned to a specific story within a collection, sequence, or dataset.
-
B.
seriesNumberInAdventureSeries
Indicates the position or installment number that an item occupies within an adventure series.
-
C.
episodeNumberInSaga
Indicates the position or sequence number that an episode occupies within a larger saga or series storyline.
-
D.
numberOfStories
Indicates the total count of levels or floors that a structure or building has.
-
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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.