Triple
T30342245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kid Glove Killer (1942 film) |
E771786
|
entity |
| Predicate | languageTrack |
P125260
|
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: [Kid Glove Killer (1942 film), languageTrack, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageTrack Context triple: [Kid Glove Killer (1942 film), languageTrack, English]
-
A.
linguisticTarget
Indicates that something serves as the specific linguistic element (such as a word, phrase, or expression) that is the focus or target of a given action, analysis, or relation.
-
B.
recordLanguage
chosen
Indicates that a record is created, stored, or presented in a particular language.
-
C.
languageNote
Indicates a note or comment providing additional information or clarification about the language used or associated with an entity or resource.
-
D.
voiceRecordingLanguage
Indicates the language in which a voice recording is spoken or produced.
-
E.
languageOfWorkRecognized
Indicates that a work is officially recognized as being created or expressed in a particular 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: April 29, 2026, 7:55 p.m.