Triple
T31172497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Kelly |
E794648
|
entity |
| Predicate | spouseOfRenownedVictorianActress |
P29616
|
FINISHED |
| Object | Ellen Terry |
—
|
NE NERFINISHED |
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: Ellen Terry | Statement: [Charles Kelly, spouseOfRenownedVictorianActress, Ellen Terry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfRenownedVictorianActress Context triple: [Charles Kelly, spouseOfRenownedVictorianActress, Ellen Terry]
-
A.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
-
B.
spouseOfCentury
Indicates a marital relationship where one spouse is identified as the notable or primary spouse of a given century.
-
C.
marriedToNotablePerson
chosen
Indicates that a person is legally married to another individual who is widely recognized or notable.
-
D.
MaryAstorRole
Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
-
E.
spouseNotableFor
Indicates that a person's spouse is recognized or distinguished for a particular achievement, role, or characteristic.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 29, 2026, 9:07 p.m.