Triple
T16675663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rapture |
E405209
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Fall from Grace
"Fall from Grace" is a song by the Christian metal band The Rapture, known for its heavy sound and spiritually themed lyrics.
|
E1227890
|
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: Fall from Grace | Statement: [The Rapture, hasPart, Fall from Grace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fall from Grace Context triple: [The Rapture, hasPart, Fall from Grace]
-
A.
Falling from Grace
Falling from Grace is a 1990s thriller film featuring Margaux Hemingway in a prominent role.
-
B.
A Fall from Grace
A Fall from Grace is a 2020 Tyler Perry-directed thriller film centered on a woman accused of murdering her husband, featuring Mehcad Brooks in a prominent role.
-
C.
Fall to Grace
"Fall to Grace" is the second studio album by English singer Paloma Faith, noted for its dramatic orchestral pop sound and emotionally charged themes.
-
D.
Her Grace
Her Grace is a formal English honorific style traditionally used to address or refer to dukes and duchesses.
-
E.
The Falling
The Falling is a 2014 British drama film set in a girls' school in the 1960s, exploring mass hysteria and adolescent sexuality, in which Monica Dolan plays a key role.
- 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: Fall from Grace Triple: [The Rapture, hasPart, Fall from Grace]
Generated description
"Fall from Grace" is a song by the Christian metal band The Rapture, known for its heavy sound and spiritually themed lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fall from Grace Target entity description: "Fall from Grace" is a song by the Christian metal band The Rapture, known for its heavy sound and spiritually themed lyrics.
-
A.
Falling from Grace
Falling from Grace is a 1990s thriller film featuring Margaux Hemingway in a prominent role.
-
B.
A Fall from Grace
A Fall from Grace is a 2020 Tyler Perry-directed thriller film centered on a woman accused of murdering her husband, featuring Mehcad Brooks in a prominent role.
-
C.
Fall to Grace
"Fall to Grace" is the second studio album by English singer Paloma Faith, noted for its dramatic orchestral pop sound and emotionally charged themes.
-
D.
Her Grace
Her Grace is a formal English honorific style traditionally used to address or refer to dukes and duchesses.
-
E.
The Falling
The Falling is a 2014 British drama film set in a girls' school in the 1960s, exploring mass hysteria and adolescent sexuality, in which Monica Dolan plays a key role.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6a1960819098c5e3385693a87a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3c79888190b6ddd55b91d97183 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b5135788190af6cfca6cb333d26 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bee78248190b920d780bcbd3032 |
completed | May 10, 2026, 1:45 p.m. |
Created at: April 10, 2026, 5:19 a.m.