Triple
T22787755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aditya Mittal |
E564015
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mittal |
—
|
NE NERFINISHED |
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: Mittal | Statement: [Aditya Mittal, familyName, Mittal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mittal Context triple: [Aditya Mittal, familyName, Mittal]
-
A.
Mittal family
chosen
The Mittal family is a prominent Indian-origin business dynasty best known for controlling and leading the global steel giant ArcelorMittal through its patriarch Lakshmi Mittal.
-
B.
Birla
Birla is a prominent Indian industrialist family known for its major contributions to business, industry, and philanthropy in India.
-
C.
Usha Mittal
Usha Mittal is the wife of Indian steel magnate Lakshmi Mittal and is known for her involvement in philanthropic and educational initiatives, including support for women's education.
-
D.
Manas Mittal
Manas Mittal is a film editor best known for his work on the acclaimed Indian film "Hotel Salvation" (Mukti Bhawan).
-
E.
Tata Steel
Tata Steel is one of India’s largest and oldest steel manufacturing companies, known for its integrated steel plants, global operations, and pioneering role in the country’s industrial development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c32de6481909ef358d16de98496 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.