Triple
T14173092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grindhouse |
E351259
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Naveen Andrews |
E49514
|
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: Naveen Andrews | Statement: [Grindhouse, stars, Naveen Andrews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naveen Andrews Context triple: [Grindhouse, stars, Naveen Andrews]
-
A.
Naveen Andrews
chosen
Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
-
B.
Anand Ahuja
Anand Ahuja is an Indian entrepreneur and fashion businessman, best known as the founder of the clothing brand Bhane and for his marriage to Bollywood actress Sonam Kapoor.
-
C.
Jay Chaudhry
Jay Chaudhry is an Indian-American entrepreneur and billionaire best known as the founder and CEO of the cloud security company Zscaler.
-
D.
Vivek Malek
Vivek Malek is an American attorney and Republican politician who serves as the Missouri State Treasurer.
-
E.
Asheem Chandna
Asheem Chandna is a prominent venture capitalist known for investing in and advising leading enterprise technology and cybersecurity startups.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80a9b34819081c4ebf7429e875a |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:01 a.m.