Triple
T11035882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erasure |
E260883
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Oh L'amour
"Oh L'amour" is a synth-pop song by the English duo Erasure that became one of their early signature tracks and a fan favorite.
|
E900640
|
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: Oh L'amour | Statement: [Erasure, notableWork, Oh L'amour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oh L'amour Context triple: [Erasure, notableWork, Oh L'amour]
-
A.
Oh Love
"Oh Love" is a pop-punk song by Green Day, released as the lead single from their 2012 album ¡Uno!.
-
B.
My Cherie Amour
"My Cherie Amour" is a classic 1969 soul and pop ballad by Stevie Wonder, celebrated for its romantic lyrics and memorable melody.
-
C.
Hymne à l’amour
"Hymne à l’amour" is a classic French chanson, renowned as one of Édith Piaf’s most emotional and enduring love songs.
-
D.
Amore
Amore is a studio album by Italian tenor Andrea Bocelli that blends pop and classical crossover interpretations of romantic songs.
-
E.
The One I Love
The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
- 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: Oh L'amour Triple: [Erasure, notableWork, Oh L'amour]
Generated description
"Oh L'amour" is a synth-pop song by the English duo Erasure that became one of their early signature tracks and a fan favorite.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oh L'amour Target entity description: "Oh L'amour" is a synth-pop song by the English duo Erasure that became one of their early signature tracks and a fan favorite.
-
A.
Oh Love
"Oh Love" is a pop-punk song by Green Day, released as the lead single from their 2012 album ¡Uno!.
-
B.
My Cherie Amour
"My Cherie Amour" is a classic 1969 soul and pop ballad by Stevie Wonder, celebrated for its romantic lyrics and memorable melody.
-
C.
Hymne à l’amour
"Hymne à l’amour" is a classic French chanson, renowned as one of Édith Piaf’s most emotional and enduring love songs.
-
D.
Amore
Amore is a studio album by Italian tenor Andrea Bocelli that blends pop and classical crossover interpretations of romantic songs.
-
E.
The One I Love
The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e839e88190957c2eabf260c203 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9b70074819084c725c5babf2fb7 |
completed | April 18, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69e3ad00b5c08190a7bf3ecbeae76d88 |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b1fff754819092d634f46fb42387 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:25 p.m.