Triple
T38599347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women Are Like That |
E934166
|
entity |
| Predicate | referredWorkTitleLanguage |
P184254
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Women Are Like That, referredWorkTitleLanguage, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredWorkTitleLanguage Context triple: [Women Are Like That, referredWorkTitleLanguage, Italian]
-
A.
workTitleInLanguage
chosen
Indicates that a work has a specific title expressed in a particular language.
-
B.
workTitleInLatinScript
Indicates that the title of a work is expressed using a Latin-based writing system.
-
C.
containsWorkLanguage
Indicates that one entity includes or is associated with a specific language used for a work (such as a document, publication, or creative piece).
-
D.
lenguaDeTrabajo
Indicates that something functions as a working language used for communication in a specific context or setting.
-
E.
equivalentTitleInLanguage
Indicates that two titles are equivalent in meaning or reference, but expressed in a specified language.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: May 3, 2026, 4:32 p.m.