Triple
T11003543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pointer Networks |
E260057
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | Navdeep Jaitly |
E46727
|
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: Navdeep Jaitly | Statement: [Pointer Networks, introducedBy, Navdeep Jaitly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navdeep Jaitly Context triple: [Pointer Networks, introducedBy, Navdeep Jaitly]
-
A.
Navdeep Jaitly
chosen
Navdeep Jaitly is a computer scientist and machine learning researcher known for his work in deep learning and speech recognition, including contributions made during his time at Google Brain.
-
B.
Charanjit Jutla
Charanjit Jutla is a cryptographer known for his research contributions in theoretical computer science and cryptographic protocols.
-
C.
Jagdeep Dhankhar
Jagdeep Dhankhar is an Indian politician and lawyer serving as the 14th Vice President of India.
-
D.
Harpreet Banga
Harpreet Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
E.
Kulvinder Ghir
Kulvinder Ghir is a British actor and comedian best known as a core cast member and writer of the groundbreaking sketch show "Goodness Gracious Me."
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3453d181081908cb58a957f4d1295 |
completed | April 18, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:25 p.m.