Triple
T22337279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KTRK-TV |
E552182
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object |
ABC13
ABC13 is the on-air brand of KTRK-TV, the ABC-owned local television news station serving the Houston, Texas area.
|
E1530681
|
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: ABC13 | Statement: [KTRK-TV, branding, ABC13]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABC13 Context triple: [KTRK-TV, branding, ABC13]
-
A.
ABC2
ABC2 is a nonprofit organization dedicated to funding and accelerating the development of treatments and a cure for brain cancer.
-
B.
ABC1
ABC1 is a British television channel known for broadcasting a variety of entertainment programming, including imported American series.
-
C.
ABC
ABC is the commonly used abbreviation for the Brazilian Academy of Sciences, a leading scientific society that promotes research and scientific development in Brazil.
-
D.
ABC
ABC is the IATA airport code for Albacete Air Base, a military airfield located near Albacete in Spain.
-
E.
ABC
ABC is the stock ticker symbol for Abcam, a global life sciences company specializing in research antibodies, reagents, and related tools.
- 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: ABC13 Triple: [KTRK-TV, branding, ABC13]
Generated description
ABC13 is the on-air brand of KTRK-TV, the ABC-owned local television news station serving the Houston, Texas area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ABC13 Target entity description: ABC13 is the on-air brand of KTRK-TV, the ABC-owned local television news station serving the Houston, Texas area.
-
A.
ABC2
ABC2 is a nonprofit organization dedicated to funding and accelerating the development of treatments and a cure for brain cancer.
-
B.
ABC1
ABC1 is a British television channel known for broadcasting a variety of entertainment programming, including imported American series.
-
C.
ABC
ABC is the commonly used abbreviation for the Brazilian Academy of Sciences, a leading scientific society that promotes research and scientific development in Brazil.
-
D.
ABC
ABC is the IATA airport code for Albacete Air Base, a military airfield located near Albacete in Spain.
-
E.
ABC
ABC is the abbreviation commonly used for the Associated British Corporation, a former British television company.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157804e60819094e2a903ace6f4b2 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad52b995c819099fe22fe76e780ee |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad993b9188190aacf482038b3cd29 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada0cef848190864a88d7baa24a81 |
completed | May 18, 2026, 9:21 a.m. |
Created at: April 16, 2026, 8:43 p.m.