Triple
T10040253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Hurt |
E205275
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
“Dark Places”
“Dark Places” is a song by the American rock band The Gaslight Anthem from their album *Get Hurt*.
|
E836849
|
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: “Dark Places” | Statement: [Get Hurt, hasPart, “Dark Places”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Dark Places” Context triple: [Get Hurt, hasPart, “Dark Places”]
-
A.
My Dark Places
My Dark Places is a memoir by crime writer James Ellroy in which he investigates his mother's unsolved murder while exploring his own troubled past.
-
B.
After the Dark
After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
-
C.
“The Saving Place”
“The Saving Place” is a marketing slogan used by Kmart to emphasize its focus on low prices and value for shoppers.
-
D.
The Dark at the End
The Dark at the End is a horror-thriller novel by F. Paul Wilson that serves as a climactic installment in his long-running Repairman Jack/Adversary Cycle series.
-
E.
Conversations in the Dark
"Conversations in the Dark" is a romantic R&B ballad by John Legend, known for its intimate lyrics and soulful vocals.
- 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: “Dark Places” Triple: [Get Hurt, hasPart, “Dark Places”]
Generated description
“Dark Places” is a song by the American rock band The Gaslight Anthem from their album *Get Hurt*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Dark Places” Target entity description: “Dark Places” is a song by the American rock band The Gaslight Anthem from their album *Get Hurt*.
-
A.
My Dark Places
My Dark Places is a memoir by crime writer James Ellroy in which he investigates his mother's unsolved murder while exploring his own troubled past.
-
B.
After the Dark
After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
-
C.
“The Saving Place”
“The Saving Place” is a marketing slogan used by Kmart to emphasize its focus on low prices and value for shoppers.
-
D.
The Dark at the End
The Dark at the End is a horror-thriller novel by F. Paul Wilson that serves as a climactic installment in his long-running Repairman Jack/Adversary Cycle series.
-
E.
Conversations in the Dark
"Conversations in the Dark" is a romantic R&B ballad by John Legend, known for its intimate lyrics and soulful vocals.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee2e6d881908cfa0579f9be32e4 |
completed | April 2, 2026, 2:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2827064108190b9079717a4eb98d6 |
completed | April 5, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69d2834f6d488190812f91a5b4971c1e |
completed | April 5, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d28432d900819091ff0d324a6bb28a |
completed | April 5, 2026, 3:48 p.m. |
Created at: March 30, 2026, 8:55 p.m.