Triple
T16253128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monster |
E394561
|
entity |
| Predicate | tellsNumberOfStories |
P25499
|
FINISHED |
| Object | three main stories |
—
|
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: three main stories | Statement: [The Monster, tellsNumberOfStories, three main stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tellsNumberOfStories Context triple: [The Monster, tellsNumberOfStories, three main stories]
-
A.
numberOfStories
Indicates the total count of levels or floors that a structure or building has.
-
B.
talesCount
chosen
Indicates the number of tales associated with or attributed to a given entity.
-
C.
storyNumber
Indicates the numerical identifier assigned to a specific story within a collection, sequence, or dataset.
-
D.
numberOfNarrators
Indicates the quantity of distinct narrators associated with a given work or narrative.
-
E.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24597b74481908fdb8175628a57a1 |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.