Triple
T15593919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music (Carole King album) |
E374820
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Song of Long Ago
"Song of Long Ago" is a reflective soft rock track by singer-songwriter Carole King from her early 1970s period.
|
E1166686
|
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: Song of Long Ago | Statement: [Music (Carole King album), hasPart, Song of Long Ago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Song of Long Ago Context triple: [Music (Carole King album), hasPart, Song of Long Ago]
-
A.
Long Gone
"Long Gone" is a song featured on the album "Scream."
-
B.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
C.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
D.
Whiskey Lullaby
"Whiskey Lullaby" is a melancholic country ballad by Brad Paisley and Alison Krauss that tells a tragic story of love, heartbreak, and alcoholism leading to mutual suicide.
-
E.
Long Gone Day
"Long Gone Day" is a jazz-tinged, melancholic rock song by the 1990s supergroup Mad Season, noted for its atmospheric instrumentation and introspective 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: Song of Long Ago Triple: [Music (Carole King album), hasPart, Song of Long Ago]
Generated description
"Song of Long Ago" is a reflective soft rock track by singer-songwriter Carole King from her early 1970s period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Song of Long Ago Target entity description: "Song of Long Ago" is a reflective soft rock track by singer-songwriter Carole King from her early 1970s period.
-
A.
Long Gone
"Long Gone" is a song featured on the album "Scream."
-
B.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
C.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
D.
Whiskey Lullaby
"Whiskey Lullaby" is a melancholic country ballad by Brad Paisley and Alison Krauss that tells a tragic story of love, heartbreak, and alcoholism leading to mutual suicide.
-
E.
Long Gone Day
"Long Gone Day" is a jazz-tinged, melancholic rock song by the 1990s supergroup Mad Season, noted for its atmospheric instrumentation and introspective 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5e43d48190a8fd367f13f1c7e1 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c7db58819089cb488fb3ea96cd |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58687e4c8190a4054c4d5419a76a |
completed | May 9, 2026, 3:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff58d92218819085877be120fdcc01 |
completed | May 9, 2026, 3:55 p.m. |
Created at: April 10, 2026, 4:12 a.m.