Triple
T34393201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelina Jolie as Lola |
E882761
|
entity |
| Predicate | voiceRecordingLanguage |
P181798
|
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: [Angelina Jolie as Lola, voiceRecordingLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceRecordingLanguage Context triple: [Angelina Jolie as Lola, voiceRecordingLanguage, English]
-
A.
recordLanguage
Indicates that a record is created, stored, or presented in a particular language.
-
B.
languageOfWorkRecognized
Indicates that a work is officially recognized as being created or expressed in a particular language.
-
C.
speechRecordedIn
Indicates that a speech event was captured or documented within a specific recording medium, file, or session.
-
D.
recognizedLanguage
Indicates that an entity has identified, detected, or acknowledged a particular language as being used or present.
-
E.
pronunciationLanguage
Indicates the language in which the pronunciation of an entity (such as a word or name) is given.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: May 1, 2026, 1:59 a.m.