Triple
T8036688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gift |
E187124
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Jessica King
Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
|
E708564
|
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: Jessica King | Statement: [The Gift, character, Jessica King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica King Context triple: [The Gift, character, Jessica King]
-
A.
Tara King
Tara King is a fictional British secret agent and one of John Steed’s partners in the 1960s television series "The Avengers."
-
B.
Katie King
Katie King is the daughter of British television presenter and former "Countdown" co-host Carol Vorderman.
-
C.
Jamie King
Jamie King is an American actress and former fashion model known for her roles in films like "Sin City" and the TV series "Hart of Dixie."
-
D.
Diana King
Diana King is a Jamaican singer-songwriter best known for her fusion of reggae, pop, and R&B, including hits like "Shy Guy" and acclaimed cover versions of classic songs.
-
E.
Andrea King
Andrea King was an American film and television actress best known for her roles in 1940s and 1950s Hollywood thrillers and dramas.
- 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: Jessica King Triple: [The Gift, character, Jessica King]
Generated description
Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jessica King Target entity description: Jessica King is a character in the supernatural thriller film "The Gift," involved in the mysterious events surrounding a small-town community.
-
A.
Tara King
Tara King is a fictional British secret agent and one of John Steed’s partners in the 1960s television series "The Avengers."
-
B.
Katie King
Katie King is the daughter of British television presenter and former "Countdown" co-host Carol Vorderman.
-
C.
Jamie King
Jamie King is an American actress and former fashion model known for her roles in films like "Sin City" and the TV series "Hart of Dixie."
-
D.
Diana King
Diana King is a Jamaican singer-songwriter best known for her fusion of reggae, pop, and R&B, including hits like "Shy Guy" and acclaimed cover versions of classic songs.
-
E.
Andrea King
Andrea King was an American film and television actress best known for her roles in 1940s and 1950s Hollywood thrillers and dramas.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f188e1c8190b92760c91d31f2df |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56fa97ac8190a0bd646d9ec345e4 |
completed | March 31, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69cc58abd96c8190ab9eeaece67d5408 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cc2f71081909cb7c0c245368edb |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:22 p.m.