Triple
T1106450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sachin Tendulkar |
E25497
|
entity |
| Predicate | totalInternationalCenturies |
P23203
|
FINISHED |
| Object | 100 |
—
|
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: 100 | Statement: [Sachin Tendulkar, totalInternationalCenturies, 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalInternationalCenturies Context triple: [Sachin Tendulkar, totalInternationalCenturies, 100]
-
A.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
B.
foundedInCentury
Indicates that an entity was established or came into existence during a specified century.
-
C.
centuryOfWork
Indicates the century during which a particular work, activity, or contribution primarily took place.
-
D.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
E.
discoveredInCentury
Indicates that an entity was discovered during a specific century.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e339f88190afc027216e95d2f7 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:43 p.m.