Triple
T12107122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Wallace |
E288329
|
entity |
| Predicate | endTimeAsMinisterToOttomanEmpire |
P103318
|
FINISHED |
| Object | 1885 |
—
|
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: 1885 | Statement: [Lew Wallace, endTimeAsMinisterToOttomanEmpire, 1885]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsMinisterToOttomanEmpire Context triple: [Lew Wallace, endTimeAsMinisterToOttomanEmpire, 1885]
-
A.
underOttomanRuleFrom
Indicates that one entity was under the political authority or control of the Ottoman Empire starting from a specified time.
-
B.
successorAsKapudanPasha
Indicates that one entity succeeded another in the role or office of Kapudan Pasha (Grand Admiral of the Ottoman Navy).
-
C.
predecessorAsKapudanPasha
Indicates that one entity previously held the office of Kapudan Pasha (Grand Admiral of the Ottoman Navy) immediately before the other entity.
-
D.
OttomanRole
Indicates that an entity holds or held a specific role, position, or function within the Ottoman Empire.
-
E.
firstTermAsGrandVizierEnd
Indicates the date or point in time when an entity’s initial tenure as Grand Vizier came to an end.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d916481a008190ae66677b9e6dd961 |
completed | April 10, 2026, 3:24 p.m. |
Created at: April 8, 2026, 9:49 p.m.