Triple
T11056893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriet Tubman |
E261398
|
entity |
| Predicate | marriageToJohnTubmanStart |
P97554
|
FINISHED |
| Object | c. 1844 |
—
|
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: c. 1844 | Statement: [Harriet Tubman, marriageToJohnTubmanStart, c. 1844]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToJohnTubmanStart Context triple: [Harriet Tubman, marriageToJohnTubmanStart, c. 1844]
-
A.
marriageToJoelMcAndrewStart
Indicates the time or event when an entity’s marriage to Joel McAndrew begins.
-
B.
startTime (marriage to John Spencer-Churchill)
Indicates the date and time at which the marriage to John Spencer-Churchill began.
-
C.
endTimeOfSpouseRelationshipWith_JohnParkeCustis
Indicates the time at which John Parke Custis’s marital relationship with a spouse came to an end.
-
D.
marriageToSamoraMachelStart
Indicates the point in time when an entity’s marriage to Samora Machel begins.
-
E.
legalStatusOfMarriageToJohn
Indicates the legal status or validity of a person’s marriage in relation to John.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a2404c819090cb0825a67a64fa |
completed | April 9, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.