Triple
T6800616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Brel songs |
E156176
|
entity |
| Predicate | hasNotableWork |
P4
|
FINISHED |
| Object |
Orly
"Orly" is a poignant chanson by Belgian singer-songwriter Jacques Brel that reflects on love, separation, and farewell in the setting of Paris’s Orly Airport.
|
E620620
|
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: Orly | Statement: [Jacques Brel songs, hasNotableWork, Orly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orly Context triple: [Jacques Brel songs, hasNotableWork, Orly]
-
A.
Orly
Orly is a commune in the southern suburbs of Paris, France, best known for giving its name to the nearby Paris Orly Airport.
-
B.
Orly Sud
Orly Sud is the former name of Orly 4, a terminal facility at Paris Orly Airport in France.
-
C.
Ayelet
Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
-
D.
Orit
Orit is the traditional biblical canon of Ethiopian Jews, encompassing their sacred scriptures and guiding religious teachings.
-
E.
ORLY
ORLY is the stock ticker symbol for O’Reilly Auto Parts, a major U.S. retailer and distributor of automotive aftermarket parts, tools, and accessories.
- 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: Orly Triple: [Jacques Brel songs, hasNotableWork, Orly]
Generated description
"Orly" is a poignant chanson by Belgian singer-songwriter Jacques Brel that reflects on love, separation, and farewell in the setting of Paris’s Orly Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orly Target entity description: "Orly" is a poignant chanson by Belgian singer-songwriter Jacques Brel that reflects on love, separation, and farewell in the setting of Paris’s Orly Airport.
-
A.
Orly
Orly is a commune in the southern suburbs of Paris, France, best known for giving its name to the nearby Paris Orly Airport.
-
B.
Orly Sud
Orly Sud is the former name of Orly 4, a terminal facility at Paris Orly Airport in France.
-
C.
Ayelet
Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
-
D.
Orit
Orit is the traditional biblical canon of Ethiopian Jews, encompassing their sacred scriptures and guiding religious teachings.
-
E.
ORLY
ORLY is the stock ticker symbol for O’Reilly Auto Parts, a major U.S. retailer and distributor of automotive aftermarket parts, tools, and accessories.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e457408190a0ad9b0c48d8147c |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a9b0cc48190819380aeaf0228e7 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71d64c2fc8190abda8b5a0f57291b |
completed | March 28, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71f3d4b8081908768c79642266431 |
completed | March 28, 2026, 12:22 a.m. |
Created at: March 27, 2026, 2:15 p.m.