Triple
T32619719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Francis Ryan |
E833887
|
entity |
| Predicate | hasSiblingStatus |
P192788
|
FINISHED |
| Object | only surviving son of his family |
—
|
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: only surviving son of his family | Statement: [James Francis Ryan, hasSiblingStatus, only surviving son of his family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiblingStatus Context triple: [James Francis Ryan, hasSiblingStatus, only surviving son of his family]
-
A.
hasSiblingMembers
Indicates that two entities are members of a group or organization and are siblings to each other within that membership context.
-
B.
hasSiblingCollaboration
Indicates a collaborative relationship between two entities that are considered siblings within the same hierarchy or family.
-
C.
hasTwinStatus
Indicates that an entity has a twin relationship or classification, such as being one of a pair of twins or having an associated twin counterpart.
-
D.
hasSiblingType
Indicates that one entity has another entity as a sibling, specifying the type or category of that sibling relationship.
-
E.
hasSiblingTier
Indicates that two entities occupy the same or equivalent sibling level or rank within a hierarchical structure.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: May 1, 2026, 1:06 a.m.