Triple
T1616509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Ba |
E34729
|
entity |
| Predicate | hasHIndex |
P30462
|
FINISHED |
| Object | (unknown numeric value) |
—
|
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: (unknown numeric value) | Statement: [Jimmy Ba, hasHIndex, (unknown numeric value)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHIndex Context triple: [Jimmy Ba, hasHIndex, (unknown numeric value)]
-
A.
hasCitationImpact
Indicates that one entity (such as a publication, author, or venue) exerts measurable influence on scholarly work through citations it receives or generates.
-
B.
hasIndex
Indicates that one entity serves as an index or positional reference for another entity within an ordered collection or structure.
-
C.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
D.
hasAcademicRank
Indicates that an entity holds a specific academic rank or title within an educational or research institution.
-
E.
hasPar
Indicates a relationship where one entity has another entity as its parent.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fef600c819080fe75c42c8e6dac |
completed | March 5, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69a907c52a548190b648a31ea306dd5b |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fedcb108190ad91f938d5eeaaa2 |
completed | March 5, 2026, 8:33 a.m. |
Created at: March 4, 2026, 7:28 p.m.