Triple
T13354575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mauritanian |
E318653
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Teri Duncan
Teri Duncan is a character in the legal drama film "The Mauritanian," involved in the story surrounding the imprisonment and defense of Mohamedou Ould Slahi at Guantánamo Bay.
|
E1041950
|
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: Teri Duncan | Statement: [The Mauritanian, character, Teri Duncan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teri Duncan Context triple: [The Mauritanian, character, Teri Duncan]
-
A.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
B.
Teri Austin
Teri Austin is a Canadian actress best known for her role as the scheming Jill Bennett on the prime-time soap opera "Knots Landing."
-
C.
Dena Dietrich
Dena Dietrich was an American actress best known for her television work and iconic “Mother Nature” margarine commercials in the 1970s.
-
D.
Debralee Scott
Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
-
E.
Diahnne Abbott
Diahnne Abbott is an American actress and singer known for her roles in films like "Taxi Driver" and "The King of Comedy."
- 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: Teri Duncan Triple: [The Mauritanian, character, Teri Duncan]
Generated description
Teri Duncan is a character in the legal drama film "The Mauritanian," involved in the story surrounding the imprisonment and defense of Mohamedou Ould Slahi at Guantánamo Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teri Duncan Target entity description: Teri Duncan is a character in the legal drama film "The Mauritanian," involved in the story surrounding the imprisonment and defense of Mohamedou Ould Slahi at Guantánamo Bay.
-
A.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
B.
Teri Austin
Teri Austin is a Canadian actress best known for her role as the scheming Jill Bennett on the prime-time soap opera "Knots Landing."
-
C.
Dena Dietrich
Dena Dietrich was an American actress best known for her television work and iconic “Mother Nature” margarine commercials in the 1970s.
-
D.
Debralee Scott
Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
-
E.
Diahnne Abbott
Diahnne Abbott is an American actress and singer known for her roles in films like "Taxi Driver" and "The King of Comedy."
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74615b0f08190a8eb8d8a87cb7053 |
completed | May 3, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_69f74869ebf081908e4672632b30de0d |
completed | May 3, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f748d146388190a830e8a557860e02 |
completed | May 3, 2026, 1:08 p.m. |
Created at: April 9, 2026, 9:32 p.m.