Triple
T23286850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Caroline Lyttelton |
E589010
|
entity |
| Predicate | spouseNotableEvent |
P85988
|
FINISHED |
| Object | assassinated in the Phoenix Park murders of 1882 |
—
|
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: assassinated in the Phoenix Park murders of 1882 | Statement: [Lucy Caroline Lyttelton, spouseNotableEvent, assassinated in the Phoenix Park murders of 1882]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseNotableEvent Context triple: [Lucy Caroline Lyttelton, spouseNotableEvent, assassinated in the Phoenix Park murders of 1882]
-
A.
hasSpouseNotableEvent
chosen
Indicates that a person’s spouse is associated with a notable event related to that person.
-
B.
spouseOfNotableEvent
Indicates a marital relationship where one spouse is a notable event or is contextually defined through association with a notable event.
-
C.
spouseNotableFor
Indicates that a person's spouse is recognized or distinguished for a particular achievement, role, or characteristic.
-
D.
spouseAtEvent
Indicates that two individuals are spouses who are present together at a specific event.
-
E.
spouseNotableAward
Indicates that a person’s spouse has received a notable award or honor.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19647178c8190bbca5da38472ce05 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5 p.m.