Triple
T17647603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Eisenbud |
E429400
|
entity |
| Predicate | endTimeOfFirstTermAtMSRI |
P73543
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [David Eisenbud, endTimeOfFirstTermAtMSRI, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfFirstTermAtMSRI Context triple: [David Eisenbud, endTimeOfFirstTermAtMSRI, 2007]
-
A.
firstTermStart
Indicates that an entity marks the starting point or initial term in an ordered sequence, period, or agreement.
-
B.
succeededInFirstTermBy
Indicates that one entity’s first term in a role, office, or position was immediately followed by another entity, who succeeded them in that initial term.
-
C.
endTime (first House term)
chosen
Indicates the time at which the first House term concludes.
-
D.
firstSessionEndTime
Indicates the time at which an entity’s initial or first session concludes.
-
E.
endTimeOfPositionFirstSecretary
Indicates the date and time when an entity’s tenure or role as First Secretary comes to an end.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3a5ad8819085d4bef669fc3152 |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:05 a.m.