Triple
T20178126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night of the Living Dummy |
E492652
|
entity |
| Predicate | seriesNumberInGoosebumps |
P5040
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Night of the Living Dummy, seriesNumberInGoosebumps, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInGoosebumps Context triple: [Night of the Living Dummy, seriesNumberInGoosebumps, 7]
-
A.
appearsInBookNumber
Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
-
B.
hasNumberOfBooksInSeries
Indicates the quantity of books that belong to a particular series.
-
C.
seriesVolumeNumber
chosen
Indicates the specific volume number assigned to an item within an ordered series.
-
D.
seriesNumberInAdventureSeries
Indicates the position or installment number that an item occupies within an adventure series.
-
E.
seriesGeneration
Indicates that one entity is responsible for creating, originating, or giving rise to a series or sequence of related items, events, or works.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.