Triple
T8871882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paulette Goddard |
E211174
|
entity |
| Predicate | marriageStartWithErichMariaRemarque |
P30741
|
FINISHED |
| Object | 1958 |
—
|
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: 1958 | Statement: [Paulette Goddard, marriageStartWithErichMariaRemarque, 1958]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithErichMariaRemarque Context triple: [Paulette Goddard, marriageStartWithErichMariaRemarque, 1958]
-
A.
marriageToErichMariaRemarqueStart
chosen
Indicates the point in time when an entity’s marriage to Erich Maria Remarque begins.
-
B.
marriageStartWithJosephGoebbels
Indicates the point in time when a marriage involving Joseph Goebbels begins.
-
C.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
D.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
-
E.
marriageCharacterization
Indicates how a marriage is described, evaluated, or characterized in terms of its qualities, dynamics, or nature.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61281e888190a32b08980310979f |
completed | April 1, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:51 p.m.