Triple
T20778668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gnostic Mass |
E511419
|
entity |
| Predicate | usesLance |
P141499
|
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: [Gnostic Mass, usesLance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLance Context triple: [Gnostic Mass, usesLance, yes]
-
A.
usedForLaunchOf
Indicates that something serves as the means, tool, or platform by which a launch (such as of a product, mission, or event) is carried out.
-
B.
usesLaser
Indicates that one entity employs or operates a laser in relation to another entity or context.
-
C.
usesForces
Indicates that one entity applies physical, magical, or other types of forces to influence, move, or affect another entity.
-
D.
usesLSA
Indicates that one entity employs Latent Semantic Analysis (LSA) as a method, tool, or underlying technique in relation to another entity or data.
-
E.
usesLaserType
Indicates that one entity employs or operates a specific type or category of laser in performing an action or function.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26ed1a08190bb73824672328d98 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:37 p.m.