Triple
T53008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glory |
E1041
|
entity |
| Predicate | writtenFor |
P1996
|
FINISHED |
| Object | film Selma |
—
|
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: film Selma | Statement: [Glory, writtenFor, film Selma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenFor Context triple: [Glory, writtenFor, film Selma]
-
A.
originallyWrittenFor
chosen
Indicates that a work was initially created or composed with a particular recipient, medium, context, or purpose in mind.
-
B.
writtenDuring
Indicates that the creation or authorship of something took place within a specified time period or historical event.
-
C.
writtenForm
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
-
D.
writtenAtEvent
Indicates that a writing or inscription activity occurred during or in connection with a specific event.
-
E.
writtenAtLocation
Indicates that an act of writing occurred at a specific physical or geographical location.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c709c248190bcd442c8d508e48c |
completed | Feb. 28, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69a24ac3c8dc819099849023bdaa35a9 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.