Triple
T21806235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob H. Schiff |
E538356
|
entity |
| Predicate | helpedArrange |
P123636
|
FINISHED |
| Object | Japanese war loans on the New York and London markets |
—
|
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: Japanese war loans on the New York and London markets | Statement: [Jacob H. Schiff, helpedArrange, Japanese war loans on the New York and London markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedArrange Context triple: [Jacob H. Schiff, helpedArrange, Japanese war loans on the New York and London markets]
-
A.
arranges
chosen
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
-
B.
commonlyArrangedFor
Indicates that one entity is typically organized, scheduled, or set up on behalf of another entity.
-
C.
arrangement
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
D.
organisedFor
Indicates that something has been arranged, structured, or coordinated specifically to serve, support, or benefit a particular entity or purpose.
-
E.
frequentlyArrangedFor
Indicates that one entity regularly organizes, schedules, or sets up something on behalf of 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07802bffc8190b383a2c89de75f74 |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.