Triple
T8079906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DZAQ-TV |
E188587
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
James Lindenberg
James Lindenberg was an American engineer and entrepreneur known as a pioneer of Philippine television broadcasting.
|
E710494
|
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: James Lindenberg | Statement: [DZAQ-TV, founder, James Lindenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Lindenberg Context triple: [DZAQ-TV, founder, James Lindenberg]
-
A.
Martin Lindauer
Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
-
B.
Michael Ballhaus
Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
-
C.
Max Lindauer
Max Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
-
D.
David Frisch
David Frisch is a former American football wide receiver who played in the National Football League during the 1990s.
-
E.
Paul Zimmerer
Paul Zimmerer was an American entrepreneur best known as the founder of Lindsay Corporation, a major manufacturer of agricultural irrigation and infrastructure equipment.
- 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: James Lindenberg Triple: [DZAQ-TV, founder, James Lindenberg]
Generated description
James Lindenberg was an American engineer and entrepreneur known as a pioneer of Philippine television broadcasting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Lindenberg Target entity description: James Lindenberg was an American engineer and entrepreneur known as a pioneer of Philippine television broadcasting.
-
A.
Martin Lindauer
Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
-
B.
Michael Ballhaus
Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
-
C.
Max Lindauer
Max Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
-
D.
David Frisch
David Frisch is a former American football wide receiver who played in the National Football League during the 1990s.
-
E.
Paul Zimmerer
Paul Zimmerer was an American entrepreneur best known as the founder of Lindsay Corporation, a major manufacturer of agricultural irrigation and infrastructure equipment.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a3f01c819096a2c9d5d5199fe6 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f79ac08190af49e77bee67921d |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651d340c819089306bac7110f57a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc666ecc04819092ee4cc035dde627 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 5:28 p.m.