Triple
T17030181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Bécaud |
E413172
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
L’orange
"L’orange" is a popular French chanson by singer-songwriter Gilbert Bécaud, known for its vivid storytelling and melodic, emotive style.
|
E1246912
|
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: L’orange | Statement: [Gilbert Bécaud, notableWork, L’orange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L’orange Context triple: [Gilbert Bécaud, notableWork, L’orange]
-
A.
Zitrone
Zitrone is a French surname most notably borne by Léon Zitrone, a prominent 20th-century television journalist and presenter in France.
-
B.
Naranjas
Naranjas is a Cuban baseball team nickname associated with the Villa Clara Naranjas of the Cuban National Series.
-
C.
Grapefruit
Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
-
D.
ORANGE
ORANGE is the radio callsign used by the Dutch airline TUI fly Netherlands for its flight operations.
-
E.
Cítricos
Cítricos is an upscale, Mediterranean-inspired restaurant located at Disney’s Grand Floridian Resort & Spa in Walt Disney World.
- 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: L’orange Triple: [Gilbert Bécaud, notableWork, L’orange]
Generated description
"L’orange" is a popular French chanson by singer-songwriter Gilbert Bécaud, known for its vivid storytelling and melodic, emotive style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L’orange Target entity description: "L’orange" is a popular French chanson by singer-songwriter Gilbert Bécaud, known for its vivid storytelling and melodic, emotive style.
-
A.
Zitrone
Zitrone is a French surname most notably borne by Léon Zitrone, a prominent 20th-century television journalist and presenter in France.
-
B.
Naranjas
Naranjas is a Cuban baseball team nickname associated with the Villa Clara Naranjas of the Cuban National Series.
-
C.
Grapefruit
Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
-
D.
ORANGE
ORANGE is the radio callsign used by the Dutch airline TUI fly Netherlands for its flight operations.
-
E.
Cítricos
Cítricos is an upscale, Mediterranean-inspired restaurant located at Disney’s Grand Floridian Resort & Spa in Walt Disney World.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d918ec8190b54c40c2a5e9b6b9 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b553c588190b46785b85142dce5 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011d2651e88190b6a57fa11e29bb21 |
completed | May 11, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011d99a038819086924a1b2af55967 |
completed | May 11, 2026, 12:06 a.m. |
Created at: April 10, 2026, 5:33 a.m.