Triple
T20078195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris |
E499926
|
entity |
| Predicate | bribeContent |
P87081
|
FINISHED |
| Object | love of the most beautiful woman in the world |
—
|
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: love of the most beautiful woman in the world | Statement: [Paris, bribeContent, love of the most beautiful woman in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bribeContent Context triple: [Paris, bribeContent, love of the most beautiful woman in the world]
-
A.
bribedBy
Indicates that an entity has received a bribe from another entity, implying an exchange of value to influence the entity’s actions or decisions.
-
B.
bounty
Indicates that a reward or payment is offered for performing a specific action or achieving a particular outcome related to an entity.
-
C.
blackmails
Indicates that one entity coerces another by threatening to reveal damaging or sensitive information unless specific demands are met.
-
D.
betrayalReward
Indicates that an entity receives a benefit or compensation as a direct result of betraying another party or prior allegiance.
-
E.
dealContent
chosen
Indicates that one entity contains, specifies, or represents the substantive terms, details, or material of a deal or agreement involving 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643e216c819088c002fc1de2772a |
completed | April 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:40 p.m.