Triple
T19072873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Mani |
E466832
|
entity |
| Predicate | structureEmphasizes |
P71761
|
FINISHED |
| Object | gaps in historical knowledge |
—
|
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: gaps in historical knowledge | Statement: [Mr. Mani, structureEmphasizes, gaps in historical knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structureEmphasizes Context triple: [Mr. Mani, structureEmphasizes, gaps in historical knowledge]
-
A.
structureFocus
chosen
Indicates that attention or emphasis is placed on the structural aspects or organization of something within the described context.
-
B.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
C.
designEmphasizes
Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
-
D.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
E.
strategyEmphasis
Indicates an entity’s primary focus or priority within a broader strategy or plan.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e1ce5881908367424c89d73feb |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.