Triple
T14042586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hindustan Times |
E337881
|
entity |
| Predicate | hasSisterNewspaper |
P4127
|
FINISHED |
| Object |
Mint
Mint is an Indian business and financial daily newspaper known for its in-depth coverage of markets, economy, and corporate affairs.
|
E1075395
|
NE FINISHED |
How this triple was built (4 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: Mint | Statement: [The Hindustan Times, hasSisterNewspaper, Mint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mint Context triple: [The Hindustan Times, hasSisterNewspaper, Mint]
-
A.
Mint
Mint is a popular personal finance management service and app that helps users track spending, budgets, and financial accounts in one place.
-
B.
Minty
Minty is the childhood nickname of Harriet Tubman, the famed American abolitionist and Underground Railroad conductor who helped enslaved people escape to freedom.
-
C.
Lima Mint
Lima Mint was a major Spanish colonial mint in Lima, Peru, known for producing silver coins such as the famous pieces of eight during the colonial era.
-
D.
Mintil
Mintil is a lesser-known Aslian language spoken by an indigenous community in the Malay Peninsula.
-
E.
Margarites
Margarites is a genus of small marine snails, commonly known as margarite top shells, found in cold and temperate seas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mint Triple: [The Hindustan Times, hasSisterNewspaper, Mint]
Generated description
Mint is an Indian business and financial daily newspaper known for its in-depth coverage of markets, economy, and corporate affairs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mint Target entity description: Mint is an Indian business and financial daily newspaper known for its in-depth coverage of markets, economy, and corporate affairs.
-
A.
Mint
Mint is a popular personal finance management service and app that helps users track spending, budgets, and financial accounts in one place.
-
B.
Minty
Minty is the childhood nickname of Harriet Tubman, the famed American abolitionist and Underground Railroad conductor who helped enslaved people escape to freedom.
-
C.
Lima Mint
Lima Mint was a major Spanish colonial mint in Lima, Peru, known for producing silver coins such as the famous pieces of eight during the colonial era.
-
D.
Mintil
Mintil is a lesser-known Aslian language spoken by an indigenous community in the Malay Peninsula.
-
E.
Margarites
Margarites is a genus of small marine snails, commonly known as margarite top shells, found in cold and temperate seas.
- F. None of above. chosen
Provenance (5 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de311814e48190adb637e1c97c0658 |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc33dbc8c819080b6cb3d589da7a1 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc6d1048081908fb2e798cbc9902f |
completed | May 6, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc76610008190bd3c7f357666c8db |
completed | May 6, 2026, 10:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.