Triple
T35367286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Marquis Warren |
E1021665
|
entity |
| Predicate | sharesStagecoachWith |
P202180
|
FINISHED |
| Object | John Ruth |
—
|
NE NERFINISHED |
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: John Ruth | Statement: [Major Marquis Warren, sharesStagecoachWith, John Ruth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesStagecoachWith Context triple: [Major Marquis Warren, sharesStagecoachWith, John Ruth]
-
A.
sharesStageWith
Indicates that two or more performers appear or perform together on the same stage during a shared event or production.
-
B.
sharesProtagonistWith
Indicates that two narrative works feature the same main protagonist character.
-
C.
sharesCharacterWith
Indicates that two entities have at least one character (such as a letter, symbol, or glyph) in common.
-
D.
sharesLineUpWith
Indicates that two entities participate together in the same lineup or roster at the same time.
-
E.
sharesAdventuresWith
Indicates that two entities regularly participate together in notable or exciting experiences or journeys.
- 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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
| PDg | Predicate description generation | batch_6a005d86d6e481909e9f6ae81568cfb8 |
completed | May 10, 2026, 10:27 a.m. |
Created at: May 3, 2026, 4:03 p.m.