Triple
T4035118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Truman Show |
E83809
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Marlon |
E326461
|
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: Marlon | Statement: [The Truman Show, character, Marlon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlon Context triple: [The Truman Show, character, Marlon]
-
A.
Marlon
chosen
Marlon is a masculine given name most famously associated with legendary American actor Marlon Brando.
-
B.
Marlon Richards
Marlon Richards is a British artist and photographer best known as the son of Rolling Stones guitarist Keith Richards and model Anita Pallenberg.
-
C.
Lyndon Simmonds
Lyndon Simmonds is a former professional footballer best known for playing as a forward in the English leagues during the late 20th century.
-
D.
Leroy
Leroy is the birth name of Eldridge Cleaver, a prominent American writer, political activist, and early leader of the Black Panther Party.
-
E.
Michaël
Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb11d92481909aaebbc250ff45b9 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556415ebc8190a528c7e22dbf70df |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.