Triple
T16295368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Meredith |
E395631
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Michael Meredith
Michael Meredith is known as the son of former Dallas Cowboys quarterback and Monday Night Football commentator Don Meredith.
|
E1208341
|
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: Michael Meredith | Statement: [Don Meredith, child, Michael Meredith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Meredith Context triple: [Don Meredith, child, Michael Meredith]
-
A.
Jonathan Meredith
Jonathan Meredith is the son of acclaimed American actor and director Burgess Meredith.
-
B.
Michael Morrow
Michael Morrow is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Morrow.
-
C.
Owen Meredith
Owen Meredith was the pen name of British statesman and Victorian poet Edward Robert Bulwer-Lytton, known for his lyrical and romantic verse.
-
D.
Patrick Merrill
Patrick Merrill is a Canadian former professional lacrosse player who became a prominent coach and executive in the National Lacrosse League.
-
E.
Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
- 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: Michael Meredith Triple: [Don Meredith, child, Michael Meredith]
Generated description
Michael Meredith is known as the son of former Dallas Cowboys quarterback and Monday Night Football commentator Don Meredith.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Meredith Target entity description: Michael Meredith is known as the son of former Dallas Cowboys quarterback and Monday Night Football commentator Don Meredith.
-
A.
Jonathan Meredith
Jonathan Meredith is the son of acclaimed American actor and director Burgess Meredith.
-
B.
Michael Morrow
Michael Morrow is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Morrow.
-
C.
Owen Meredith
Owen Meredith was the pen name of British statesman and Victorian poet Edward Robert Bulwer-Lytton, known for his lyrical and romantic verse.
-
D.
Patrick Merrill
Patrick Merrill is a Canadian former professional lacrosse player who became a prominent coach and executive in the National Lacrosse League.
-
E.
Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2d08108190bab1b3325923af1d |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da268b881908f17980c48d44419 |
completed | May 10, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a002fad37f481908a9239220be961fb |
completed | May 10, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003051dc48819092a319a3be2e4886 |
completed | May 10, 2026, 7:14 a.m. |
Created at: April 10, 2026, 5:06 a.m.