Triple
T29694114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type I string theory |
E751295
|
entity |
| Predicate | hasTachyonInUnstableBackgrounds |
P172399
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Type I string theory, hasTachyonInUnstableBackgrounds, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTachyonInUnstableBackgrounds Context triple: [Type I string theory, hasTachyonInUnstableBackgrounds, yes]
-
A.
hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
B.
hasBackgroundClutter
Indicates that the scene or image contains additional, potentially distracting elements in the background around the main subject.
-
C.
hasStageBackground
Indicates that one entity serves as the stage background for another entity in a performance or scene.
-
D.
hasBackgroundSample
Indicates that an entity is associated with or linked to a corresponding background sample used for comparison or reference.
-
E.
hasNotableHostBackground
Indicates that the host of an event, show, or program has a background or profile that is considered particularly significant, distinguished, or noteworthy.
- 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_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 28, 2026, 7:19 p.m.