Triple
T20875714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In My Life |
E514012
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object |
La Colombe
"La Colombe" is a French-language song best known for its inclusion on Judy Collins’s 1966 album *In My Life*, where it stands out as one of the record’s most memorable tracks.
|
E1454623
|
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: La Colombe | Statement: [In My Life, notableTrack, La Colombe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Colombe Context triple: [In My Life, notableTrack, La Colombe]
-
A.
Delamotte
Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
-
B.
Café Noir
Café Noir is a song by French singer Patricia Kaas, known for its moody, jazz-influenced style and emotive vocal delivery.
-
C.
Le Café
Le Café is a satirical verse dialogue by French poet Jean-Baptiste Rousseau that critiques contemporary society and literary culture through a conversation set in a coffeehouse.
-
D.
Longbar
Longbar is a prominent, elongated casino bar and social hub located inside The D Las Vegas on Fremont Street.
-
E.
Lacroix
Lacroix is a French surname borne by various notable individuals across fields such as sports, fashion, and the arts.
- 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: La Colombe Triple: [In My Life, notableTrack, La Colombe]
Generated description
"La Colombe" is a French-language song best known for its inclusion on Judy Collins’s 1966 album *In My Life*, where it stands out as one of the record’s most memorable tracks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Colombe Target entity description: "La Colombe" is a French-language song best known for its inclusion on Judy Collins’s 1966 album *In My Life*, where it stands out as one of the record’s most memorable tracks.
-
A.
Delamotte
Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
-
B.
Café Noir
Café Noir is a song by French singer Patricia Kaas, known for its moody, jazz-influenced style and emotive vocal delivery.
-
C.
Le Café
Le Café is a satirical verse dialogue by French poet Jean-Baptiste Rousseau that critiques contemporary society and literary culture through a conversation set in a coffeehouse.
-
D.
Longbar
Longbar is a prominent, elongated casino bar and social hub located inside The D Las Vegas on Fremont Street.
-
E.
Lacroix
Lacroix is a French surname borne by various notable individuals across fields such as sports, fashion, and the arts.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c674f68c8190a7b43aeea5b9b976 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0913a06c208190963a53d5ac5399c5 |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09140b17988190ab1e636b65b0e293 |
completed | May 17, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09146d53248190a68602a0804afde7 |
completed | May 17, 2026, 1:05 a.m. |
Created at: April 16, 2026, 12:45 p.m.