Triple
T16827793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Howling |
E409064
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Belinda Balaski
Belinda Balaski is an American actress best known for her work in horror and cult films, particularly her collaborations with director Joe Dante.
|
E1236654
|
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: Belinda Balaski | Statement: [The Howling, starred, Belinda Balaski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belinda Balaski Context triple: [The Howling, starred, Belinda Balaski]
-
A.
Kathleen Blanco
Kathleen Blanco was an American Democratic politician who served as the first female governor of Louisiana, leading the state during the devastation of Hurricane Katrina.
-
B.
Melinda Gebbie
Melinda Gebbie is an American-born comics artist and writer best known for her collaborative work with Alan Moore on the erotic graphic novel "Lost Girls."
-
C.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
-
D.
Belinda Beatty
Belinda Beatty is known as the wife of the late American character actor Ned Beatty.
-
E.
Madelyn Salosihn
Madelyn Salosihn was the first wife of American comic actor Oliver Hardy, known for his work in the Laurel and Hardy comedy duo.
- 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: Belinda Balaski Triple: [The Howling, starred, Belinda Balaski]
Generated description
Belinda Balaski is an American actress best known for her work in horror and cult films, particularly her collaborations with director Joe Dante.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belinda Balaski Target entity description: Belinda Balaski is an American actress best known for her work in horror and cult films, particularly her collaborations with director Joe Dante.
-
A.
Kathleen Blanco
Kathleen Blanco was an American Democratic politician who served as the first female governor of Louisiana, leading the state during the devastation of Hurricane Katrina.
-
B.
Melinda Gebbie
Melinda Gebbie is an American-born comics artist and writer best known for her collaborative work with Alan Moore on the erotic graphic novel "Lost Girls."
-
C.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
-
D.
Belinda Beatty
Belinda Beatty is known as the wife of the late American character actor Ned Beatty.
-
E.
Madelyn Salosihn
Madelyn Salosihn was the first wife of American comic actor Oliver Hardy, known for his work in the Laurel and Hardy comedy duo.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3151350819097b1c375e6df8986 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb13ec908190853627066fb2c492 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbf6dd488190ad624bb6c35ac086 |
completed | May 10, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc633abc8190a86808986ba294ec |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:23 a.m.