Triple
T10917705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Sixteen |
E257866
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Annmarie Fulton
Annmarie Fulton is an actress best known for her role in the film "Sweet Sixteen."
|
E1061095
|
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: Annmarie Fulton | Statement: [Sweet Sixteen, stars, Annmarie Fulton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annmarie Fulton Context triple: [Sweet Sixteen, stars, Annmarie Fulton]
-
A.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
B.
Annmarie Powell
Annmarie Powell is one of the daughters of Alma Johnson Powell and former U.S. Secretary of State Colin Powell.
-
C.
Colleen Farrington
Colleen Farrington was an American model and nightclub singer best known as the mother of actress Diane Lane.
-
D.
Laura Merriman
Laura Merriman is known as the spouse of Dwight Merriman, the co-founder and former CEO of DoubleClick and co-founder of MongoDB.
-
E.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
- 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: Annmarie Fulton Triple: [Sweet Sixteen, stars, Annmarie Fulton]
Generated description
Annmarie Fulton is an actress best known for her role in the film "Sweet Sixteen."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annmarie Fulton Target entity description: Annmarie Fulton is an actress best known for her role in the film "Sweet Sixteen."
-
A.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
B.
Annmarie Powell
Annmarie Powell is one of the daughters of Alma Johnson Powell and former U.S. Secretary of State Colin Powell.
-
C.
Colleen Farrington
Colleen Farrington was an American model and nightclub singer best known as the mother of actress Diane Lane.
-
D.
Laura Merriman
Laura Merriman is known as the spouse of Dwight Merriman, the co-founder and former CEO of DoubleClick and co-founder of MongoDB.
-
E.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707ebdcc8190b42cafe21c667c82 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0513f408190b822566b8fc771cd |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b20f67048190a641527353e3ff43 |
completed | May 3, 2026, 8:37 p.m. |
Created at: April 8, 2026, 9:22 p.m.