Triple
T10104030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boygenius (EP) |
E216272
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
“Salt in the Wound”
“Salt in the Wound” is a song by the indie rock supergroup boygenius, featured on their self-titled debut EP.
|
E840668
|
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: “Salt in the Wound” | Statement: [Boygenius (EP), hasPart, “Salt in the Wound”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Salt in the Wound” Context triple: [Boygenius (EP), hasPart, “Salt in the Wound”]
-
A.
“Widow’s Walk”
“Widow’s Walk” is a song that forms one of the individual pieces within the larger musical work titled *Song Cycle*.
-
B.
Wounds in the Rain
Wounds in the Rain is a collection of short stories by American author Stephen Crane, largely inspired by his experiences as a war correspondent during the Spanish–American War.
-
C.
"Pain"
"Pain" is a song by American singer-songwriter Muni Long, known for its emotive lyrics and R&B-influenced sound.
-
D.
Old Wounds
"Old Wounds" is an episode of the animated TV series "Teen Titans" that introduces the character Isaac.
-
E.
Old Wounds
"Old Wounds" is the pilot episode of the science fiction comedy-drama series *The Orville*, which introduces the main characters and the show's spacefaring setting.
- 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: “Salt in the Wound” Triple: [Boygenius (EP), hasPart, “Salt in the Wound”]
Generated description
“Salt in the Wound” is a song by the indie rock supergroup boygenius, featured on their self-titled debut EP.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Salt in the Wound” Target entity description: “Salt in the Wound” is a song by the indie rock supergroup boygenius, featured on their self-titled debut EP.
-
A.
“Widow’s Walk”
“Widow’s Walk” is a song that forms one of the individual pieces within the larger musical work titled *Song Cycle*.
-
B.
Wounds in the Rain
Wounds in the Rain is a collection of short stories by American author Stephen Crane, largely inspired by his experiences as a war correspondent during the Spanish–American War.
-
C.
"Pain"
"Pain" is a song by American singer-songwriter Muni Long, known for its emotive lyrics and R&B-influenced sound.
-
D.
Old Wounds
"Old Wounds" is an episode of the animated TV series "Teen Titans" that introduces the character Isaac.
-
E.
Old Wounds
"Old Wounds" is the pilot episode of the science fiction comedy-drama series *The Orville*, which introduces the main characters and the show's spacefaring setting.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09c961081909848acec4438c300 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6dcca848190851f6f1968fe244c |
completed | April 5, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69d2b7e64fcc8190805a6a31c8a3786f |
completed | April 5, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b883959481909f330a26863621ae |
completed | April 5, 2026, 7:31 p.m. |
Created at: March 30, 2026, 9:03 p.m.