Triple
T17796659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aristotle Onassis |
E444309
|
entity |
| Predicate | marriageStartWithJacquelineKennedyOnassis |
P79509
|
FINISHED |
| Object | 1968 |
—
|
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: 1968 | Statement: [Aristotle Onassis, marriageStartWithJacquelineKennedyOnassis, 1968]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithJacquelineKennedyOnassis Context triple: [Aristotle Onassis, marriageStartWithJacquelineKennedyOnassis, 1968]
-
A.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
B.
startTime (marriage to Aristotle Onassis)
chosen
Indicates the specific point in time when the marriage to Aristotle Onassis began.
-
C.
marriedToAFormerFirstLadyOfTheUnitedStates
Indicates that a person is or was married to someone who previously held the role of First Lady of the United States.
-
D.
marriedToUSPresident
Indicates being legally married to an individual who holds or has held the office of President of the United States.
-
E.
marriageStartWithElizabethTaylor
Indicates the point in time when a marriage involving Elizabeth Taylor began.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fafc2c8190b28e791267c47e3c |
completed | April 19, 2026, 7:44 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.