Triple
T30309664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna Maximoff |
E770886
|
entity |
| Predicate | maritalStatusOfParents |
P81808
|
FINISHED |
| Object | Quicksilver and Crystal separated |
—
|
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: Quicksilver and Crystal separated | Statement: [Luna Maximoff, maritalStatusOfParents, Quicksilver and Crystal separated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalStatusOfParents Context triple: [Luna Maximoff, maritalStatusOfParents, Quicksilver and Crystal separated]
-
A.
parentsMarriageStatus
chosen
Indicates the marital status relationship between an individual’s parents (e.g., married, divorced, separated, never married).
-
B.
parentsStatus
Indicates the marital or relational status between a person's parents (e.g., married, divorced, separated, single).
-
C.
parentsMarriedAt
Indicates that the parents of the given entity were married at the specified time or date.
-
D.
marital status
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
E.
maritalStatusOfUnion
Indicates the type or state of the marital relationship that characterizes a particular union between entities.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 7:50 p.m.