Triple
T19599784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William George Barker |
E470435
|
entity |
| Predicate | dateOfActionForVictoriaCross |
P136423
|
FINISHED |
| Object | 1918-10-27 |
—
|
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: 1918-10-27 | Statement: [William George Barker, dateOfActionForVictoriaCross, 1918-10-27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfActionForVictoriaCross Context triple: [William George Barker, dateOfActionForVictoriaCross, 1918-10-27]
-
A.
hasVictoriaCrossRecipient
Indicates that an entity has, is associated with, or includes at least one recipient of the Victoria Cross.
-
B.
MedalOfHonorAwardDate
Indicates the date on which a Medal of Honor was formally awarded to a recipient.
-
C.
wasKnightedOn
Indicates that an entity received a knighthood on a specific date or occasion.
-
D.
wasKnightedAt
Indicates that a knighthood was formally conferred upon someone at a specific place or event.
-
E.
MedalOfHonorActionDate
Indicates the date on which the action or event occurred that led to the awarding of the Medal of Honor.
- 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.