Triple
T2399696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Lou Retton |
E47737
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Retton
Retton is the surname of Mary Lou Retton, the pioneering American gymnast who became an Olympic champion and national sports icon in the 1980s.
|
E263775
|
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: Retton | Statement: [Mary Lou Retton, familyName, Retton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Retton Context triple: [Mary Lou Retton, familyName, Retton]
-
A.
Dwan
Dwan is the female lead character in the 1976 remake of King Kong, portrayed as the shipwrecked aspiring actress who forms a unique bond with the giant ape.
-
B.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
C.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
D.
Rennie Wilford
Rennie Wilford is the protagonist of Margaret Atwood’s novel "Bodily Harm," a travel journalist whose trip to a Caribbean island becomes a harrowing exploration of political unrest and personal vulnerability.
-
E.
Heinsohn
Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
- 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: Retton Triple: [Mary Lou Retton, familyName, Retton]
Generated description
Retton is the surname of Mary Lou Retton, the pioneering American gymnast who became an Olympic champion and national sports icon in the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Retton Target entity description: Retton is the surname of Mary Lou Retton, the pioneering American gymnast who became an Olympic champion and national sports icon in the 1980s.
-
A.
Dwan
Dwan is the female lead character in the 1976 remake of King Kong, portrayed as the shipwrecked aspiring actress who forms a unique bond with the giant ape.
-
B.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
C.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
D.
Rennie Wilford
Rennie Wilford is the protagonist of Margaret Atwood’s novel "Bodily Harm," a travel journalist whose trip to a Caribbean island becomes a harrowing exploration of political unrest and personal vulnerability.
-
E.
Heinsohn
Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c95d8c819088e4bb4fb32452ae |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e081648190be42e9fc5046830f |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4a5011c8190bda6c487dab73131 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb59d0e5c819080bf5b34946b68ac |
completed | March 9, 2026, 11:57 a.m. |
Created at: March 4, 2026, 7:57 p.m.