Triple
T21229626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Mouth of Madness |
E523173
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Jim Lang
Jim Lang is a composer best known for his film and television scores, including the music for John Carpenter’s horror film "In the Mouth of Madness."
|
E1472765
|
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: Jim Lang | Statement: [In the Mouth of Madness, musicBy, Jim Lang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Lang Context triple: [In the Mouth of Madness, musicBy, Jim Lang]
-
A.
Bill Langworthy
Bill Langworthy is a television producer best known for his work on reality and docu-series, including serving as executive producer of "Candidly Nicole."
-
B.
Chris Lang
Chris Lang is a British television writer and producer best known for creating acclaimed crime dramas, including the series "Unforgotten."
-
C.
Nick Lang
Nick Lang is a fictional, pampered Hollywood action-movie star who shadows a real New York City detective to prepare for a gritty role in the 1991 film "The Hard Way."
-
D.
Neal Lang
Neal Lang was the husband of American comic actress and singer Martha Raye.
-
E.
Chris Langham
Chris Langham is a British actor, writer, and comedian best known for his work in television satire and comedy, including prominent roles in acclaimed UK series.
- 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: Jim Lang Triple: [In the Mouth of Madness, musicBy, Jim Lang]
Generated description
Jim Lang is a composer best known for his film and television scores, including the music for John Carpenter’s horror film "In the Mouth of Madness."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Lang Target entity description: Jim Lang is a composer best known for his film and television scores, including the music for John Carpenter’s horror film "In the Mouth of Madness."
-
A.
Bill Langworthy
Bill Langworthy is a television producer best known for his work on reality and docu-series, including serving as executive producer of "Candidly Nicole."
-
B.
Chris Lang
Chris Lang is a British television writer and producer best known for creating acclaimed crime dramas, including the series "Unforgotten."
-
C.
Nick Lang
Nick Lang is a fictional, pampered Hollywood action-movie star who shadows a real New York City detective to prepare for a gritty role in the 1991 film "The Hard Way."
-
D.
Neal Lang
Neal Lang was the husband of American comic actress and singer Martha Raye.
-
E.
Chris Langham
Chris Langham is a British actor, writer, and comedian best known for his work in television satire and comedy, including prominent roles in acclaimed UK series.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ae60408190a9480b27d109b8fc |
completed | April 21, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986e9757c81908f14889be3097ada |
completed | May 17, 2026, 9:14 a.m. |
| NEDg | Description generation | batch_6a09878b38208190964f9bc8f5c40d36 |
completed | May 17, 2026, 9:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09888c04e481908375982a62b8a260 |
completed | May 17, 2026, 9:21 a.m. |
Created at: April 16, 2026, 3:44 p.m.