Triple
T16096037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Each Dawn I Die |
E390486
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Hood Stacey
Hood Stacey is the central protagonist of the crime drama film "Each Dawn I Die," around whom the story’s conflicts and moral struggles revolve.
|
E1193933
|
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: Hood Stacey | Statement: [Each Dawn I Die, mainCharacter, Hood Stacey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hood Stacey Context triple: [Each Dawn I Die, mainCharacter, Hood Stacey]
-
A.
Stacy
Stacy is the birth name of Fergie, the American singer and former member of the Black Eyed Peas.
-
B.
Stacy
Stacy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Anastasia or Eustace.
-
C.
Stacey Blades
Stacey Blades is a rock guitarist best known for his work with the glam metal band L.A. Guns and other hard rock acts.
-
D.
Stacy Barrett
Stacy Barrett is a bubbly, loyal, and somewhat ditzy best friend character from the legal comedy-drama TV series "Drop Dead Diva."
-
E.
Stacey Jones
Stacey Jones is a legendary New Zealand rugby league halfback renowned for his playmaking brilliance and long-standing impact on both the New Zealand national team and the New Zealand Warriors.
- 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: Hood Stacey Triple: [Each Dawn I Die, mainCharacter, Hood Stacey]
Generated description
Hood Stacey is the central protagonist of the crime drama film "Each Dawn I Die," around whom the story’s conflicts and moral struggles revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hood Stacey Target entity description: Hood Stacey is the central protagonist of the crime drama film "Each Dawn I Die," around whom the story’s conflicts and moral struggles revolve.
-
A.
Stacy
Stacy is the birth name of Fergie, the American singer and former member of the Black Eyed Peas.
-
B.
Stacy
Stacy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Anastasia or Eustace.
-
C.
Stacey Blades
Stacey Blades is a rock guitarist best known for his work with the glam metal band L.A. Guns and other hard rock acts.
-
D.
Stacy Barrett
Stacy Barrett is a bubbly, loyal, and somewhat ditzy best friend character from the legal comedy-drama TV series "Drop Dead Diva."
-
E.
Stacey Jones
Stacey Jones is a legendary New Zealand rugby league halfback renowned for his playmaking brilliance and long-standing impact on both the New Zealand national team and the New Zealand Warriors.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e18593d0fc8190aa3ba3edb4219aaa |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb991ba88190ad568a49069f9701 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec4898088190bed531e33418c7e5 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecce96508190a53f100e3207ebac |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 4:59 a.m.