Triple
T6997053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magda Goebbels |
E162241
|
entity |
| Predicate | marriageStartWithJosephGoebbels |
P74343
|
FINISHED |
| Object | 1931-12-19 |
—
|
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: 1931-12-19 | Statement: [Magda Goebbels, marriageStartWithJosephGoebbels, 1931-12-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithJosephGoebbels Context triple: [Magda Goebbels, marriageStartWithJosephGoebbels, 1931-12-19]
-
A.
marriageToErichMariaRemarqueStart
Indicates the point in time when an entity’s marriage to Erich Maria Remarque begins.
-
B.
marriageStartToJohannesKepler
Indicates the point in time when a marriage to Johannes Kepler began.
-
C.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
D.
marriageStartWithFrankGifford
Indicates the point in time when a marriage involving Frank Gifford begins.
-
E.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
- F. None of above. chosen
Provenance (4 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbedafa48190af0d2b47e3a1e17e |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6dbbc00fc8190a18221524b774021 |
completed | March 27, 2026, 7:34 p.m. |
Created at: March 27, 2026, 2:32 p.m.