Triple
T13434656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Die For |
E320198
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Suzanne Stone Maretto
Suzanne Stone Maretto is the ambitious, fame-obsessed aspiring television personality at the center of the darkly satirical film "To Die For."
|
E1041648
|
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: Suzanne Stone Maretto | Statement: [To Die For, mainCharacter, Suzanne Stone Maretto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Stone Maretto Context triple: [To Die For, mainCharacter, Suzanne Stone Maretto]
-
A.
Suzanne Kilpatrick
Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
-
B.
Suzanne Barbieri
Suzanne Barbieri is a musician best known for her past role in the British progressive rock band Porcupine Tree.
-
C.
Suzanne Zimmer
Suzanne Zimmer is the wife of renowned film composer Hans Zimmer and the mother of several of his children.
-
D.
Suzanne Mulkern
Suzanne Mulkern is known for being the first wife of Apple co-founder Steve Wozniak.
-
E.
Suzanne Johnson
Suzanne Johnson is a member of the Johnson family, known primarily in relation to that family group.
- 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: Suzanne Stone Maretto Triple: [To Die For, mainCharacter, Suzanne Stone Maretto]
Generated description
Suzanne Stone Maretto is the ambitious, fame-obsessed aspiring television personality at the center of the darkly satirical film "To Die For."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suzanne Stone Maretto Target entity description: Suzanne Stone Maretto is the ambitious, fame-obsessed aspiring television personality at the center of the darkly satirical film "To Die For."
-
A.
Suzanne Kilpatrick
Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
-
B.
Suzanne Barbieri
Suzanne Barbieri is a musician best known for her past role in the British progressive rock band Porcupine Tree.
-
C.
Suzanne Zimmer
Suzanne Zimmer is the wife of renowned film composer Hans Zimmer and the mother of several of his children.
-
D.
Suzanne Mulkern
Suzanne Mulkern is known for being the first wife of Apple co-founder Steve Wozniak.
-
E.
Suzanne Johnson
Suzanne Johnson is a member of the Johnson family, known primarily in relation to that family group.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739902d148190ac14ac66f1f9512f |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73d6051e48190a39e8de98bfb839a |
completed | May 3, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7411fbb9481908f0106b01f2583bf |
completed | May 3, 2026, 12:35 p.m. |
Created at: April 9, 2026, 9:40 p.m.