Triple
T7985490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MapReduce |
E185673
|
entity |
| Predicate | describedBy |
P264
|
FINISHED |
| Object | Sanjay Ghemawat |
E346957
|
NE 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: Sanjay Ghemawat | Statement: [MapReduce, describedBy, Sanjay Ghemawat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjay Ghemawat Context triple: [MapReduce, describedBy, Sanjay Ghemawat]
-
A.
Sanjay Ghemawat
chosen
Sanjay Ghemawat is a prominent computer scientist and long-time Google engineer known for co-designing and implementing large-scale distributed systems such as MapReduce, Bigtable, and LevelDB.
-
B.
Urs Hölzle
Urs Hölzle is a Swiss computer scientist best known as one of Google’s first employees and its longtime Senior Vice President of Technical Infrastructure, where he has shaped the company’s large-scale computing systems.
-
C.
Parag Agrawal
Parag Agrawal is an Indian-American technology executive and computer scientist best known for serving as the chief executive officer of Twitter.
-
D.
Anant Agarwal
Anant Agarwal is a computer scientist and MIT professor best known as the founding CEO of edX, a major online learning platform.
-
E.
Reid Hoffman
Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4a55b881909a96133e56c0dffa |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0e6f3c48190a0132fa90eec6420 |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:15 p.m.