Triple
T1106454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sachin Tendulkar |
E25497
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Little Master
Little Master is the famous nickname of Indian cricket legend Sachin Tendulkar, celebrated as one of the greatest batsmen in the history of the sport.
|
E126538
|
NE FINISHED |
How this triple was built (4 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: Little Master | Statement: [Sachin Tendulkar, nickname, Little Master]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Master Context triple: [Sachin Tendulkar, nickname, Little Master]
-
A.
Rascal
Rascal is the furry, family-friendly mascot of the West Michigan Whitecaps minor league baseball team, entertaining fans at games and community events.
-
B.
Lloyd
Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
-
C.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
D.
Noddy
Noddy is a popular British children's book character, a wooden boy who lives in the toy town of Toyland, created by author Enid Blyton.
-
E.
The Toy
The Toy is a 1982 comedy film starring Richard Pryor as a man hired by a wealthy businessman to be a spoiled rich child's "live" plaything, exploring themes of race, class, and exploitation through slapstick humor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Little Master Triple: [Sachin Tendulkar, nickname, Little Master]
Generated description
Little Master is the famous nickname of Indian cricket legend Sachin Tendulkar, celebrated as one of the greatest batsmen in the history of the sport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Master Target entity description: Little Master is the famous nickname of Indian cricket legend Sachin Tendulkar, celebrated as one of the greatest batsmen in the history of the sport.
-
A.
Rascal
Rascal is the furry, family-friendly mascot of the West Michigan Whitecaps minor league baseball team, entertaining fans at games and community events.
-
B.
Lloyd
Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
-
C.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
D.
Noddy
Noddy is a popular British children's book character, a wooden boy who lives in the toy town of Toyland, created by author Enid Blyton.
-
E.
The Toy
The Toy is a 1982 comedy film starring Richard Pryor as a man hired by a wealthy businessman to be a spoiled rich child's "live" plaything, exploring themes of race, class, and exploitation through slapstick humor.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4cee1881909ca8af01f22bb8bb |
completed | March 7, 2026, 4:03 p.m. |
| NEDg | Description generation | batch_69ac4d1d58ac8190b1fc39a28aff8c46 |
completed | March 7, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d90c3dc819092f6be4888851477 |
completed | March 7, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:43 p.m.