Triple
T16289348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonnie Ali |
E395475
|
entity |
| Predicate | marriageStartWithMuhammadAli |
P101875
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Lonnie Ali, marriageStartWithMuhammadAli, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithMuhammadAli Context triple: [Lonnie Ali, marriageStartWithMuhammadAli, 1986]
-
A.
yearOfMarriageToMuhammad_CommonEra
chosen
Indicates the calendar year in the Common Era when an individual married Muhammad.
-
B.
marriageToMuhammadType
Indicates a marital relationship in which the person is (or was) married to Muhammad, specifying that the marriage is to the individual identified as Muhammad.
-
C.
marriageToMuhammadOccasion
Indicates the specific occasion or event during which an individual entered into marriage with Muhammad.
-
D.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
E.
yearOfMarriageToMuhammad_Hijri
Indicates the Hijri calendar year in which an individual married the Prophet Muhammad.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e249175e24819082e571039e278056 |
completed | April 17, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.