Triple
T31324394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French frigate Méduse |
E798840
|
entity |
| Predicate | survivorAccount |
P171652
|
FINISHED |
| Object | narrative by Alexandre Corréard |
—
|
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: narrative by Alexandre Corréard | Statement: [French frigate Méduse, survivorAccount, narrative by Alexandre Corréard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivorAccount Context triple: [French frigate Méduse, survivorAccount, narrative by Alexandre Corréard]
-
A.
survivorWith
Indicates a relationship where one entity survives an event or condition together with, or in the presence of, another entity.
-
B.
isSurvivorOf
Indicates that one entity has lived through, endured, or remained alive after a particular event, condition, or harmful circumstance involving another entity.
-
C.
survivorTerm
Indicates that one entity is designated as the surviving or remaining party in relation to another entity, often after a loss, termination, or adverse event.
-
D.
survivorCount
Indicates the number of entities that remain alive or intact after a specified event, process, or condition.
-
E.
survivorOfAttack
Indicates that one entity has lived through and remains alive after being subjected to an attack carried out by 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 9:15 p.m.