Triple
T9998931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private James Francis Ryan |
E197273
|
entity |
| Predicate | numberOfBrothersKilledInWar |
P91507
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Private James Francis Ryan, numberOfBrothersKilledInWar, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBrothersKilledInWar Context triple: [Private James Francis Ryan, numberOfBrothersKilledInWar, 3]
-
A.
brothersKilledBy
Indicates that the referenced individuals are brothers who were killed by the same agent or in the same event.
-
B.
sonsKilledBy
Indicates that the referenced sons are those who were killed by the specified agent or entity.
-
C.
numberOfVictimsKilled
Indicates the count of victims who were killed as a result of the referenced event or action.
-
D.
diedInConflict
Indicates that an entity lost their life as a direct result of a specific conflict or war.
-
E.
numberOfHoldersKilledInWorldWarII
Indicates the number of holders of a given title, position, or role who were killed during World War II.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8c78448190a5332f4ff8a7b3dd |
completed | April 2, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:51 p.m.