Triple
T8827331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montresor |
E210047
|
entity |
| Predicate | chains |
P84852
|
FINISHED |
| Object | Fortunato to a niche wall |
—
|
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: Fortunato to a niche wall | Statement: [Montresor, chains, Fortunato to a niche wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chains Context triple: [Montresor, chains, Fortunato to a niche wall]
-
A.
chain
Indicates that one entity is linked or connected in sequence to another, typically as part of a series or chain of related elements or actions.
-
B.
supplyChain
Indicates a relationship where one entity participates in providing, transferring, or managing goods, services, or information to another as part of a sequential production and distribution process.
-
C.
islandChain
Indicates that one landmass is part of a series of islands that are geographically connected or aligned with each other.
-
D.
chainPosition
Indicates the position or rank an entity occupies within an ordered chain or sequence relative to other entities.
-
E.
missionChainOrder
Indicates the sequential ordering relationship between missions within a mission chain, specifying which mission must occur before another.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc6034e8dc819099116d772e87569a |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:47 p.m.