Triple
T19599795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William George Barker |
E470435
|
entity |
| Predicate | victoriaCrossActionLocation |
P136425
|
FINISHED |
| Object | over the Western Front |
—
|
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: over the Western Front | Statement: [William George Barker, victoriaCrossActionLocation, over the Western Front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victoriaCrossActionLocation Context triple: [William George Barker, victoriaCrossActionLocation, over the Western Front]
-
A.
victoryLocation
Indicates the place or setting where a victory or triumph occurs.
-
B.
MedalOfHonorActionPlace
Indicates the location where the action meriting the Medal of Honor took place.
-
C.
placeOfEventCommemorated
Indicates the location where the event being commemorated actually took place.
-
D.
medalAtLocation
Indicates that a medal was awarded, received, or is associated with a specific location.
-
E.
capturedPlace
Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407d46188190b9818665b2a698a5 |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:43 p.m.