Triple
T15042821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mireille |
E378642
|
entity |
| Predicate | deathOfHeroine |
P54491
|
FINISHED |
| Object | dies of exhaustion and sunstroke at Saintes-Maries-de-la-Mer |
—
|
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: dies of exhaustion and sunstroke at Saintes-Maries-de-la-Mer | Statement: [Mireille, deathOfHeroine, dies of exhaustion and sunstroke at Saintes-Maries-de-la-Mer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathOfHeroine Context triple: [Mireille, deathOfHeroine, dies of exhaustion and sunstroke at Saintes-Maries-de-la-Mer]
-
A.
motherDeath
Indicates that the mother of the referenced individual has died.
-
B.
deathBy
chosen
Indicates a relationship where one entity’s death is caused by another entity, event, or factor.
-
C.
deathDescribedIn
Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
-
D.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced entity.
-
E.
diesInArmsOf
Indicates that one entity dies while being physically held or embraced by another entity.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82f73208190bb55fa6b20074e27 |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 3 a.m.