Triple
T29694219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M5-branes |
E751297
|
entity |
| Predicate | roleInBlackObjects |
P199086
|
FINISHED |
| Object | source for 11D black brane solutions |
—
|
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: source for 11D black brane solutions | Statement: [M5-branes, roleInBlackObjects, source for 11D black brane solutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBlackObjects Context triple: [M5-branes, roleInBlackObjects, source for 11D black brane solutions]
-
A.
roleInSilhouette
Indicates that an entity has a specific functional or positional role within a larger silhouette or outline structure.
-
B.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
C.
roleAtIllumination
Indicates that an entity holds or held a specific role or position at the organization Illumination.
-
D.
roleOfPeopleOnIt
Indicates the specific roles or functions that people have in relation to a particular object, event, or context.
-
E.
roleInTheMask
Indicates that an entity has a specific role or character assignment in the context of "The Mask" (e.g., a production, story, or performance titled or themed "The Mask").
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
| PDg | Predicate description generation | batch_69ff1e3d5f488190ba6e4f024128fb99 |
completed | May 9, 2026, 11:45 a.m. |
Created at: April 28, 2026, 7:19 p.m.