Triple
T20309983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | heute-journal |
E510210
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
heute
"heute" is a long-running German television news program produced by ZDF, known for providing daily national and international news coverage.
|
E1424207
|
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: heute | Statement: [heute-journal, relatedTo, heute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: heute Context triple: [heute-journal, relatedTo, heute]
-
A.
Today
"Today" is a pioneering 1929 Soviet documentary film by Esfir Shub that exemplifies her innovative use of found footage to deliver sharp social and political commentary.
-
B.
Today
Today is an American R&B vocal group best known for their late-1980s and early-1990s work in the new jack swing era.
-
C.
Today
Today is a long-running American morning news and talk show on NBC featuring news coverage, interviews, and lifestyle segments.
-
D.
Today
Today is BBC Radio 4’s leading early-morning news and current affairs programme, featuring in-depth interviews, reports, and analysis of national and international events.
-
E.
Today
"Today" is a popular 1960s folk song by The New Christy Minstrels, known for its gentle melody and romantic lyrics.
- 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: heute Triple: [heute-journal, relatedTo, heute]
Generated description
"heute" is a long-running German television news program produced by ZDF, known for providing daily national and international news coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: heute Target entity description: "heute" is a long-running German television news program produced by ZDF, known for providing daily national and international news coverage.
-
A.
Today
"Today" is a pioneering 1929 Soviet documentary film by Esfir Shub that exemplifies her innovative use of found footage to deliver sharp social and political commentary.
-
B.
Today
Today is a long-running American morning news and talk show on NBC featuring news coverage, interviews, and lifestyle segments.
-
C.
Today
Today is BBC Radio 4’s leading early-morning news and current affairs programme, featuring in-depth interviews, reports, and analysis of national and international events.
-
D.
Today
"Today" is a popular 1960s folk song by The New Christy Minstrels, known for its gentle melody and romantic lyrics.
-
E.
Today
"Today" is a 1967 folk-rock ballad by Jefferson Airplane, known for its gentle melody and prominent place on their influential album "Surrealistic Pillow."
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677436af88190a046c44fa45b68b4 |
completed | April 20, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08612051088190b68a6107eb941655 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086255182881908eeaa49d34bf3ba5 |
completed | May 16, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08635869148190992d75a8806f767c |
completed | May 16, 2026, 12:30 p.m. |
Created at: April 16, 2026, 11:18 a.m.