Triple
T2087910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Nixon Eisenhower |
E32595
|
entity |
| Predicate | endTimeOfNotableRole |
P20778
|
FINISHED |
| Object | 1974 |
—
|
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: 1974 | Statement: [Julie Nixon Eisenhower, endTimeOfNotableRole, 1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfNotableRole Context triple: [Julie Nixon Eisenhower, endTimeOfNotableRole, 1974]
-
A.
notablePositionEnd
chosen
Indicates the point in time or event at which an entity’s notable position, role, or office comes to an end.
-
B.
officeholderEndTime
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
C.
endTimeAtTeam
Indicates the time at which an activity, event, or association concludes for a specific team.
-
D.
activeYearsEndTime
Indicates the point in time when an entity’s period of activity or operation comes to an end.
-
E.
notableHolderRole
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba712388819091d68a4bb99f6b17 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.