Triple
T23085121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Sullivan |
E575576
|
entity |
| Predicate | numberOfBrothersInServiceTogether |
P150870
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [George Sullivan, numberOfBrothersInServiceTogether, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBrothersInServiceTogether Context triple: [George Sullivan, numberOfBrothersInServiceTogether, 4]
-
A.
personReferredToMilitaryService
Indicates that one person has directed, recommended, or assigned another person to perform military service.
-
B.
numberOfBrothersKilledInWar
Indicates the count of a person’s brothers who were killed while serving in a war.
-
C.
playedForSameTeamAsBrother
Indicates that a person played for the same team as their brother, at some point in time.
-
D.
hasNumberOfBrothers
Indicates that an entity is associated with a specific count representing how many brothers it has.
-
E.
brotherOrAlly
Indicates a relationship where one entity is either a brother of, or an allied supporter/partner to, another entity.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da3d4208190b7bfd1026e773dbf |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:57 p.m.