Triple
T36691697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murphy–Weygand Agreement |
E905972
|
entity |
| Predicate | assistanceRecipient |
P52361
|
FINISHED |
| Object | Vichy French authorities in North Africa |
—
|
NE NERFINISHED |
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: Vichy French authorities in North Africa | Statement: [Murphy–Weygand Agreement, assistanceRecipient, Vichy French authorities in North Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assistanceRecipient Context triple: [Murphy–Weygand Agreement, assistanceRecipient, Vichy French authorities in North Africa]
-
A.
individualRecipient
Indicates that a specific individual is the direct recipient or beneficiary of something (such as an item, message, or action).
-
B.
philanthropicBeneficiary
Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
-
C.
recipientOf
chosen
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
-
D.
aidGivenTo
Indicates that one entity provides help, support, or assistance to another entity.
-
E.
assistanceMayInclude
Indicates that one entity’s assistance to another can optionally encompass or involve a specified type, component, or aspect of help.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.