Triple
T31256542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lugalbanda |
E796988
|
entity |
| Predicate | recordedInScript |
P147606
|
FINISHED |
| Object | cuneiform |
—
|
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: cuneiform | Statement: [Lugalbanda, recordedInScript, cuneiform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedInScript Context triple: [Lugalbanda, recordedInScript, cuneiform]
-
A.
scriptedIn
Indicates that something (such as a film, play, or program) was written or scripted using a particular language or scripting system.
-
B.
recordedForFilm
Indicates that an audio or performance was captured specifically for use in a film production.
-
C.
scripted
Indicates that one entity has written or created the script or dialogue for another entity or event.
-
D.
recordedInText
chosen
Indicates that an event, fact, or relationship is documented or mentioned within a particular text or written source.
-
E.
reRecordedIn
Indicates that an existing recording of something (e.g., a performance or audio/video content) was made again and captured in a new recording instance.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 29, 2026, 9:12 p.m.