Triple
T4568055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talking to Strangers |
E121958
|
entity |
| Predicate | seriesOriginalLanguage |
P51969
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Talking to Strangers, seriesOriginalLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesOriginalLanguage Context triple: [Talking to Strangers, seriesOriginalLanguage, English]
-
A.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
-
B.
originalLanguageCountry
Indicates the country where a work’s original language is primarily spoken or officially used.
-
C.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
D.
languageOfSeries
chosen
Indicates the language in which a series is primarily produced, presented, or officially released.
-
E.
seriesOriginalNetwork
Indicates the television network on which a series was originally broadcast or first aired.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589faccc8190ac0354644099810d |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.