Triple
T7521124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ran Carthon |
E177770
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Maurice Carthon |
E670151
|
NE FINISHED |
How this triple was built (2 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: Maurice Carthon | Statement: [Ran Carthon, father, Maurice Carthon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurice Carthon Context triple: [Ran Carthon, father, Maurice Carthon]
-
A.
Maurice Carthon
chosen
Maurice Carthon is a former NFL fullback and longtime assistant coach best known for his role in the New York Giants’ Super Bowl-winning teams of the 1980s.
-
B.
Maurice Richlin
Maurice Richlin was an American screenwriter best known for co-writing classic films such as "The Pink Panther" and "Operation Petticoat."
-
C.
Maurice Benard
Maurice Benard is an American actor best known for his long-running role as Sonny Corinthos on the soap opera "General Hospital."
-
D.
Eugene Roche
Eugene Roche was an American character actor known for his prolific work in film and television, often playing affable or comedic supporting roles.
-
E.
Maurice Leven
Maurice Leven was a French academic and entrepreneur best known as one of the founders of ESSEC Business School, a leading institution of higher education in management.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c2ad6c8190b822c0a5b80e7829 |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b10cbc8190a36be8351feaf832 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:46 p.m.