Triple
T34566479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Marley |
E887503
|
entity |
| Predicate | chainMadeOf |
P179318
|
FINISHED |
| Object | cash-boxes |
—
|
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: cash-boxes | Statement: [Jacob Marley, chainMadeOf, cash-boxes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chainMadeOf Context triple: [Jacob Marley, chainMadeOf, cash-boxes]
-
A.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
-
B.
chains
Indicates that one entity is physically or metaphorically bound, linked, or restrained by another through chains or a chain-like connection.
-
C.
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.
-
D.
mainMetalProduced
Indicates that a location, facility, or process primarily produces a particular metal as its main output.
-
E.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720671b2881909b5f85ea73a7a8fa |
completed | May 3, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 2:02 a.m.