Triple
T11010247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Farrell |
E260226
|
entity |
| Predicate | editedLanguage |
P96990
|
FINISHED |
| Object | English-language films |
—
|
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-language films | Statement: [Neil Farrell, editedLanguage, English-language films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editedLanguage Context triple: [Neil Farrell, editedLanguage, English-language films]
-
A.
editedIn
Indicates that an entity was modified, revised, or otherwise altered within a particular context, tool, environment, or time frame.
-
B.
languageReform
Indicates efforts or actions aimed at changing, standardizing, or improving aspects of a language, such as its spelling, grammar, or usage rules.
-
C.
remakeLanguage
Indicates that one entity creates a new version or adaptation of another entity in a different language.
-
D.
writesLanguage
Indicates that an entity produces written content in a particular language.
-
E.
editingIs
Indicates that one entity is performing or undergoing the process of editing another entity.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79788d44c819084f35693ed96f422 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d733b27ffc81908ab1b8df198cd5c7 |
completed | April 9, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:25 p.m.