Triple
T6798555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Del Nayar |
E156120
|
entity |
| Predicate | hasHighMarginalizationIndex |
P17855
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Del Nayar, hasHighMarginalizationIndex, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighMarginalizationIndex Context triple: [Del Nayar, hasHighMarginalizationIndex, true]
-
A.
hasHighPropertyValues
Indicates that the associated entity possesses property values that are above a defined or typical threshold.
-
B.
hasHigh
chosen
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
C.
hasHIndex
Indicates that an entity (typically a researcher) has a specified h-index value representing their combined publication productivity and citation impact.
-
D.
containsSignificantHI
Indicates that something includes a substantial or noteworthy amount of high-intensity (HI) content, activity, or effect.
-
E.
hasMAD
Indicates that an entity possesses or is associated with a specific MAD (e.g., a minimum acceptable distance, mean absolute deviation, or similarly defined MAD-related measure).
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2cb6b2881909b30bb8020a9d3bf |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:15 p.m.