Triple
T17351549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toby Halbrooks |
E421824
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Deadroom |
—
|
NE ONDG |
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: Deadroom | Statement: [Toby Halbrooks, notableWork, Deadroom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deadroom Context triple: [Toby Halbrooks, notableWork, Deadroom]
-
A.
Dark Rooms
Dark Rooms is an experimental indie rock band known for blending atmospheric soundscapes with emotive vocals and cinematic arrangements.
-
B.
Strange Room
Strange Room is a surreal, puzzle-filled chamber often depicted in fiction and games as a disorienting space that challenges perception and logic.
-
C.
The Dead Room
The Dead Room is a British television drama, written and directed by Mark Gatiss, that pays homage to classic ghost stories through a chilling tale set in a radio studio.
-
D.
The Dark Room
The Dark Room is a psychological horror video game known for its unsettling atmosphere, narrative-driven exploration, and themes of memory and trauma.
-
E.
The Dark Room
The Dark Room is a British television drama in which actress Holly Aird delivered one of her most recognized performances.
- 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: Deadroom Triple: [Toby Halbrooks, notableWork, Deadroom]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deadroom Target entity description: Deadroom is an independent film written and produced by Toby Halbrooks that explores intimate conversations between the living and the dead in a minimalist, dialogue-driven style.
-
A.
Dark Rooms
Dark Rooms is an experimental indie rock band known for blending atmospheric soundscapes with emotive vocals and cinematic arrangements.
-
B.
Strange Room
Strange Room is a surreal, puzzle-filled chamber often depicted in fiction and games as a disorienting space that challenges perception and logic.
-
C.
The Dead Room
The Dead Room is a British television drama, written and directed by Mark Gatiss, that pays homage to classic ghost stories through a chilling tale set in a radio studio.
-
D.
The Dark Room
The Dark Room is a psychological horror video game known for its unsettling atmosphere, narrative-driven exploration, and themes of memory and trauma.
-
E.
The Dark Room
The Dark Room is a British television drama in which actress Holly Aird delivered one of her most recognized performances.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2ca0708190aae8306ec3a6f2a7 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195585e5881909b0ad386b65112ba |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a0195c365348190bc5ae9d39094e6f3 |
in_progress | May 11, 2026, 8:39 a.m. |
Created at: April 10, 2026, 5:44 a.m.