Triple
T8335452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shazam! |
E195775
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Grace Fulton
Grace Fulton is an American actress best known for her role as Mary Bromfield in the DC superhero film "Shazam!" and its sequel.
|
E730285
|
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: Grace Fulton | Statement: [Shazam!, stars, Grace Fulton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grace Fulton Context triple: [Shazam!, stars, Grace Fulton]
-
A.
Afton Williamson
Afton Williamson is an American actress known for her roles in television series such as "The Rookie" and "Banshee."
-
B.
April Wheeler
April Wheeler is a disillusioned 1950s suburban housewife whose frustrated ambitions and deteriorating marriage drive the central tragedy of Richard Yates’s novel "Revolutionary Road."
-
C.
Georgia Tennant
Georgia Tennant is an English actress and producer known for roles in series like "Doctor Who" and "Merlin," as well as for her work behind the camera on various television projects.
-
D.
Florence Williamson
Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
-
E.
Sylvia Fowler
Sylvia Fowler is a scheming, sharp-tongued Manhattan socialite and chief instigator of gossip in the classic 1939 film "The Women."
- 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: Grace Fulton Triple: [Shazam!, stars, Grace Fulton]
Generated description
Grace Fulton is an American actress best known for her role as Mary Bromfield in the DC superhero film "Shazam!" and its sequel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grace Fulton Target entity description: Grace Fulton is an American actress best known for her role as Mary Bromfield in the DC superhero film "Shazam!" and its sequel.
-
A.
Afton Williamson
Afton Williamson is an American actress known for her roles in television series such as "The Rookie" and "Banshee."
-
B.
April Wheeler
April Wheeler is a disillusioned 1950s suburban housewife whose frustrated ambitions and deteriorating marriage drive the central tragedy of Richard Yates’s novel "Revolutionary Road."
-
C.
Georgia Tennant
Georgia Tennant is an English actress and producer known for roles in series like "Doctor Who" and "Merlin," as well as for her work behind the camera on various television projects.
-
D.
Florence Williamson
Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
-
E.
Sylvia Fowler
Sylvia Fowler is a scheming, sharp-tongued Manhattan socialite and chief instigator of gossip in the classic 1939 film "The Women."
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd2ca648190991e398ba70caf8d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde794a4008190bbcb2f114c503458 |
completed | April 2, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69cdebf81adc81908feb7b19b5b151c3 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdecc83e408190b9ba1dc8acf5081b |
completed | April 2, 2026, 4:12 a.m. |
Created at: March 30, 2026, 5:57 p.m.