Triple
T2945074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Morrall |
E79481
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Morrall
Morrall is a surname most notably associated with Earl Morrall, a prominent American football quarterback.
|
E311858
|
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: Morrall | Statement: [Earl Morrall, familyName, Morrall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morrall Context triple: [Earl Morrall, familyName, Morrall]
-
A.
Clay Morrow
Clay Morrow is a central fictional character in the television series "Sons of Anarchy," known as the manipulative and often ruthless president of the outlaw motorcycle club at the heart of the show.
-
B.
Utley
Utley is a surname most prominently associated with former Major League Baseball second baseman Chase Utley.
-
C.
Jim Morris
Jim Morris is an American film producer and executive best known for his work at Pixar Animation Studios, including producing the acclaimed animated film WALL-E.
-
D.
Lee Roy Mitchell
Lee Roy Mitchell is an American businessman best known as the founder of the Cinemark movie theater chain.
-
E.
Malick Bowens
Malick Bowens was a Kenyan-born actor best known for his supporting role in the Academy Award–winning film "Out of Africa."
- 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: Morrall Triple: [Earl Morrall, familyName, Morrall]
Generated description
Morrall is a surname most notably associated with Earl Morrall, a prominent American football quarterback.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morrall Target entity description: Morrall is a surname most notably associated with Earl Morrall, a prominent American football quarterback.
-
A.
Clay Morrow
Clay Morrow is a central fictional character in the television series "Sons of Anarchy," known as the manipulative and often ruthless president of the outlaw motorcycle club at the heart of the show.
-
B.
Utley
Utley is a surname most prominently associated with former Major League Baseball second baseman Chase Utley.
-
C.
Jim Morris
Jim Morris is an American film producer and executive best known for his work at Pixar Animation Studios, including producing the acclaimed animated film WALL-E.
-
D.
Lee Roy Mitchell
Lee Roy Mitchell is an American businessman best known as the founder of the Cinemark movie theater chain.
-
E.
Malick Bowens
Malick Bowens was a Kenyan-born actor best known for his supporting role in the Academy Award–winning film "Out of Africa."
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b2752481908ec6f9a9cc24c0a7 |
completed | March 8, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0868d754c8190b075ca0fd902814a |
completed | March 10, 2026, 9:01 p.m. |
| NEDg | Description generation | batch_69b0dd08d390819089c241122db5deed |
completed | March 11, 2026, 3:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0dd9857a8819092785308e67ba66f |
completed | March 11, 2026, 3:12 a.m. |
Created at: March 8, 2026, 2:56 p.m.