Triple
T16608785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Tata |
E403511
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Tata Group |
E403509
|
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: Tata Group | Statement: [Noel Tata, employer, Tata Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tata Group Context triple: [Noel Tata, employer, Tata Group]
-
A.
Tata Group
chosen
Tata Group is a major Indian multinational conglomerate with diverse businesses spanning sectors such as steel, automobiles, information technology, telecommunications, and hospitality.
-
B.
Tata Sons
Tata Sons is the principal holding company and promoter of the Tata Group, one of India’s largest and oldest multinational conglomerates.
-
C.
Tata International
Tata International is a global trading and distribution company of the Tata Group, operating across sectors such as metals, minerals, leather, and agri-products in numerous international markets.
-
D.
Aditya Birla Group
Aditya Birla Group is a major Indian multinational conglomerate with diversified interests spanning sectors such as metals, cement, textiles, telecommunications, and financial services.
-
E.
Tata Motors
Tata Motors is a major Indian multinational automotive manufacturer known for producing a wide range of passenger and commercial vehicles and for owning the luxury car brand Jaguar Land Rover.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36094920881908051eb0a52e08440 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c794355881908fdec356d12a5635 |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:17 a.m.