Triple
T9969823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbit Hole |
E196175
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Anton Sanko
Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
|
E831764
|
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: Anton Sanko | Statement: [Rabbit Hole, musicBy, Anton Sanko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anton Sanko Context triple: [Rabbit Hole, musicBy, Anton Sanko]
-
A.
Andrei Sator
Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
-
B.
Anton Furst
Anton Furst was an Academy Award–winning British production designer best known for his dark, expressionistic Gotham City designs in Tim Burton’s Batman (1989).
-
C.
Antoniw
Antoniw is a surname most notably borne by Mick Antoniw, a Welsh Labour politician and Member of the Senedd.
-
D.
Martin Obzina
Martin Obzina was a film art director known for his set design work on classic early 20th-century cinema.
-
E.
Ivan Bukholts
Ivan Bukholts was an 18th-century Russian military officer and explorer credited with leading the early expedition that established the settlement which became the city of Omsk in Siberia.
- 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: Anton Sanko Triple: [Rabbit Hole, musicBy, Anton Sanko]
Generated description
Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anton Sanko Target entity description: Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
-
A.
Andrei Sator
Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
-
B.
Anton Furst
Anton Furst was an Academy Award–winning British production designer best known for his dark, expressionistic Gotham City designs in Tim Burton’s Batman (1989).
-
C.
Antoniw
Antoniw is a surname most notably borne by Mick Antoniw, a Welsh Labour politician and Member of the Senedd.
-
D.
Martin Obzina
Martin Obzina was a film art director known for his set design work on classic early 20th-century cinema.
-
E.
Ivan Bukholts
Ivan Bukholts was an 18th-century Russian military officer and explorer credited with leading the early expedition that established the settlement which became the city of Omsk in Siberia.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b7ea9881908a56f11e2e446dd0 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dca14d081909573e91a576921c9 |
completed | April 5, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69d23f63a0d08190a3ace2e4bb58a9ac |
completed | April 5, 2026, 10:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d23ff6fdc4819082d8d575a3901ea8 |
completed | April 5, 2026, 10:56 a.m. |
Created at: March 30, 2026, 8:48 p.m.