Triple
T11125831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C'est la vie |
E263134
|
entity |
| Predicate | hasTitlePhraseMeaning |
P4542
|
FINISHED |
| Object | such is life |
—
|
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: such is life | Statement: [C'est la vie, hasTitlePhraseMeaning, such is life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitlePhraseMeaning Context triple: [C'est la vie, hasTitlePhraseMeaning, such is life]
-
A.
titlePhrase
Indicates that one entity is a phrase functioning as the title or name of another entity.
-
B.
titleMeaning
chosen
Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
-
C.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
D.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
E.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82fc5f88190b34c55de3d50f6a7 |
completed | April 9, 2026, 5:55 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.