Triple
T18193907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Haunted |
E435608
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Seance
Seance is a musical act known for its dark, atmospheric style that complements the horror-themed work of The Haunted.
|
E1311190
|
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: Seance | Statement: [The Haunted, associatedAct, Seance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seance Context triple: [The Haunted, associatedAct, Seance]
-
A.
Apparitions
"Apparitions" is a photography book by Sylvia Plachy that showcases her distinctive, poetic black-and-white images capturing fleeting, often surreal moments in everyday life.
-
B.
Apparition
Apparition was an independent American film distribution company known for releasing prestige and arthouse films in the late 2000s.
-
C.
Apparition
"Apparition" is a celebrated poem by Stéphane Mallarmé, noted for its evocative symbolism and musical, dreamlike language.
-
D.
Haunting of the Innocent
Haunting of the Innocent is a low-budget American horror film centered on a family plagued by a violent supernatural presence in a small town.
-
E.
The Haunting Hour
The Haunting Hour is a horror anthology television series for younger audiences, inspired by R. L. Stine’s work and known for its eerie, self-contained episodes.
- 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: Seance Triple: [The Haunted, associatedAct, Seance]
Generated description
Seance is a musical act known for its dark, atmospheric style that complements the horror-themed work of The Haunted.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seance Target entity description: Seance is a musical act known for its dark, atmospheric style that complements the horror-themed work of The Haunted.
-
A.
Apparitions
"Apparitions" is a photography book by Sylvia Plachy that showcases her distinctive, poetic black-and-white images capturing fleeting, often surreal moments in everyday life.
-
B.
Apparition
Apparition was an independent American film distribution company known for releasing prestige and arthouse films in the late 2000s.
-
C.
Apparition
"Apparition" is a celebrated poem by Stéphane Mallarmé, noted for its evocative symbolism and musical, dreamlike language.
-
D.
Haunting of the Innocent
Haunting of the Innocent is a low-budget American horror film centered on a family plagued by a violent supernatural presence in a small town.
-
E.
The Haunting Hour
The Haunting Hour is a horror anthology television series for younger audiences, inspired by R. L. Stine’s work and known for its eerie, self-contained episodes.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d12b688190842375dcc5d5537c |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980b347c819095efe75ae5ceeebb |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0399521adc81908b3496c0168afe5d |
completed | May 12, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039a1d66c081908ee33c6d503b0dad |
completed | May 12, 2026, 9:22 p.m. |
Created at: April 10, 2026, 10:31 a.m.