Triple
T7022738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ring |
E162866
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object |
Samara Morgan
Samara Morgan is the vengeful ghostly girl from the horror film "The Ring," known for her cursed videotape and terrifying emergence from television screens.
|
E636741
|
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: Samara Morgan | Statement: [The Ring, antagonist, Samara Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samara Morgan Context triple: [The Ring, antagonist, Samara Morgan]
-
A.
Samantha Caine
Samantha Caine is the amnesiac suburban schoolteacher who gradually uncovers her past as a lethal government assassin in the action thriller "The Long Kiss Goodnight."
-
B.
Tanee McCall
Tanee McCall is an American actress and professional dancer known for her roles in film and television, including action and dance-focused projects.
-
C.
Samantha Logan
Samantha Logan is an American actress best known for her leading role as Olivia Baker in the television drama series "All American."
-
D.
Dani Dennison
Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
-
E.
Samaria Smith
Samaria Smith is the daughter of American rapper and actor LL Cool J.
- 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: Samara Morgan Triple: [The Ring, antagonist, Samara Morgan]
Generated description
Samara Morgan is the vengeful ghostly girl from the horror film "The Ring," known for her cursed videotape and terrifying emergence from television screens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samara Morgan Target entity description: Samara Morgan is the vengeful ghostly girl from the horror film "The Ring," known for her cursed videotape and terrifying emergence from television screens.
-
A.
Samantha Caine
Samantha Caine is the amnesiac suburban schoolteacher who gradually uncovers her past as a lethal government assassin in the action thriller "The Long Kiss Goodnight."
-
B.
Tanee McCall
Tanee McCall is an American actress and professional dancer known for her roles in film and television, including action and dance-focused projects.
-
C.
Samantha Logan
Samantha Logan is an American actress best known for her leading role as Olivia Baker in the television drama series "All American."
-
D.
Dani Dennison
Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
-
E.
Samaria Smith
Samaria Smith is the daughter of American rapper and actor LL Cool J.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1edf3608190b7ba0bfb85710e97 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7757c87788190b09ced669b5c4d83 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7777be0d08190b6be22c72d2da12e |
completed | March 28, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77851ace48190a2a4899181f3d14a |
completed | March 28, 2026, 6:42 a.m. |
Created at: March 27, 2026, 2:35 p.m.