Triple
T16826766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Costas |
E409037
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Keith Costas
Keith Costas is a television producer and the son of renowned sportscaster Bob Costas.
|
E1235102
|
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: Keith Costas | Statement: [Bob Costas, hasChild, Keith Costas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keith Costas Context triple: [Bob Costas, hasChild, Keith Costas]
-
A.
Tony Costa
Tony Costa is a character in Philip Pullman’s "His Dark Materials" series, known as a young Gyptian boy who becomes a victim of the sinister experiments conducted by the General Oblation Board.
-
B.
Matt Costa
Matt Costa is an American singer-songwriter and musician known for his melodic indie folk and surf-influenced acoustic rock.
-
C.
Peter DaCosta
Peter DaCosta is the son of American actress and pianist Diana Lynn.
-
D.
Don Costa
Don Costa was an American arranger, composer, and record producer best known for his work with artists like Frank Sinatra and Paul Anka during the mid-20th century pop era.
-
E.
Gerald Cuesta
Gerald Cuesta is a screenwriter best known for co-writing the independent film "L.I.E.," a critically acclaimed coming-of-age drama.
- 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: Keith Costas Triple: [Bob Costas, hasChild, Keith Costas]
Generated description
Keith Costas is a television producer and the son of renowned sportscaster Bob Costas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keith Costas Target entity description: Keith Costas is a television producer and the son of renowned sportscaster Bob Costas.
-
A.
Tony Costa
Tony Costa is a character in Philip Pullman’s "His Dark Materials" series, known as a young Gyptian boy who becomes a victim of the sinister experiments conducted by the General Oblation Board.
-
B.
Matt Costa
Matt Costa is an American singer-songwriter and musician known for his melodic indie folk and surf-influenced acoustic rock.
-
C.
Peter DaCosta
Peter DaCosta is the son of American actress and pianist Diana Lynn.
-
D.
Don Costa
Don Costa was an American arranger, composer, and record producer best known for his work with artists like Frank Sinatra and Paul Anka during the mid-20th century pop era.
-
E.
Gerald Cuesta
Gerald Cuesta is a screenwriter best known for co-writing the independent film "L.I.E.," a critically acclaimed coming-of-age drama.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31404c88190a3b2802842ca77eb |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29e48f881908489bd77a9caec97 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b3aafac08190b3e0181780f45392 |
completed | May 10, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b466ecd08190b7b5ee54476631ab |
completed | May 10, 2026, 4:37 p.m. |
Created at: April 10, 2026, 5:23 a.m.