Triple
T14042554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hindustan Times |
E337881
|
entity |
| Predicate | hasPublisher |
P1760
|
FINISHED |
| Object |
HT Media
HT Media is an Indian mass media company best known for publishing major newspapers, including the national daily Hindustan Times.
|
E1075394
|
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: HT Media | Statement: [The Hindustan Times, hasPublisher, HT Media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HT Media Context triple: [The Hindustan Times, hasPublisher, HT Media]
-
A.
HTV
HTV is a Japanese uncrewed cargo spacecraft, also known as the H-II Transfer Vehicle, used to deliver supplies to the International Space Station.
-
B.
HT Technology
HT Technology is Intel's simultaneous multithreading feature that allows a single physical processor core to appear as multiple logical cores to improve parallel performance.
-
C.
HT
HT is the ISO 3166-1 alpha-2 country code for Haiti.
-
D.
Mediasch
Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
-
E.
HDNet
HDNet is an American high-definition television network co-founded by Mark Cuban, known for airing news, sports, and entertainment programming.
- 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: HT Media Triple: [The Hindustan Times, hasPublisher, HT Media]
Generated description
HT Media is an Indian mass media company best known for publishing major newspapers, including the national daily Hindustan Times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HT Media Target entity description: HT Media is an Indian mass media company best known for publishing major newspapers, including the national daily Hindustan Times.
-
A.
HTV
HTV is a Japanese uncrewed cargo spacecraft, also known as the H-II Transfer Vehicle, used to deliver supplies to the International Space Station.
-
B.
HT Technology
HT Technology is Intel's simultaneous multithreading feature that allows a single physical processor core to appear as multiple logical cores to improve parallel performance.
-
C.
HT
HT is the ISO 3166-1 alpha-2 country code for Haiti.
-
D.
Mediasch
Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
-
E.
HDNet
HDNet is an American high-definition television network co-founded by Mark Cuban, known for airing news, sports, and entertainment programming.
- 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.