Triple
T10047400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Kershner |
E207650
|
entity |
| Predicate | marriageWithEmmaGoldmanStartApprox |
P91816
|
FINISHED |
| Object | 1887 |
—
|
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: 1887 | Statement: [Jacob Kershner, marriageWithEmmaGoldmanStartApprox, 1887]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageWithEmmaGoldmanStartApprox Context triple: [Jacob Kershner, marriageWithEmmaGoldmanStartApprox, 1887]
-
A.
marriageToJoelMcAndrewStart
Indicates the time or event when an entity’s marriage to Joel McAndrew begins.
-
B.
marriageToErichMariaRemarqueStart
Indicates the point in time when an entity’s marriage to Erich Maria Remarque begins.
-
C.
marriedToAbolitionist
Indicates that a person is married to someone who is an abolitionist.
-
D.
start time of marriage with Humphrey Bogart
Indicates the date and time when a person’s marriage to Humphrey Bogart began.
-
E.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
- F. None of above. chosen
Provenance (4 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:56 p.m.