Triple
T10325514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Five Wives |
E242750
|
entity |
| Predicate | survivorsAtEnd |
P11769
|
FINISHED |
| Object | most members survive and return to the Citadel |
—
|
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: most members survive and return to the Citadel | Statement: [The Five Wives, survivorsAtEnd, most members survive and return to the Citadel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivorsAtEnd Context triple: [The Five Wives, survivorsAtEnd, most members survive and return to the Citadel]
-
A.
hasSurvivors
chosen
Indicates that one or more entities continue to exist or remain alive after a particular event, condition, or incident.
-
B.
survivorCount
Indicates the number of entities that remain alive or intact after a specified event, process, or condition.
-
C.
survivorsBuilt
Indicates that the entities identified as survivors constructed, created, or established the associated object or structure.
-
D.
survivorsPerMatch
Indicates the number of surviving participants remaining at the end of each match.
-
E.
numberOfChildrenSurvivors
Indicates the count of children who survived a particular event, condition, or situation.
- F. None of above.
Provenance (3 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:51 a.m.