Triple
T11383574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anshu Jain |
E269657
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Anshu |
E269657
|
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: Anshu | Statement: [Anshu Jain, givenName, Anshu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anshu Context triple: [Anshu Jain, givenName, Anshu]
-
A.
Ankur
Ankur is a landmark 1974 Indian Hindi-language film directed by Shyam Benegal that helped launch the parallel cinema movement in India.
-
B.
Anshu Jain
chosen
Anshu Jain was a prominent investment banker best known as the former co-CEO of Deutsche Bank and later a senior executive at Cantor Fitzgerald.
-
C.
Ashani Sanket
Ashani Sanket is a critically acclaimed Bengali film directed by Satyajit Ray, known for its portrayal of the Bengal famine of 1943 and featuring Soumitra Chatterjee in a leading role.
-
D.
Anish
Anish is a given name most notably associated with Anish Kapoor, the British-Indian sculptor renowned for his large-scale, often reflective and abstract public artworks.
-
E.
Nishant
Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc34f1f0819082dd977313ee6070 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8025744819091312adddeb75347 |
completed | April 20, 2026, 5:22 a.m. |
Created at: April 8, 2026, 9:34 p.m.