Triple
T2397496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Q source (hypothetical) |
E47684
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Quelle
Quelle is a hypothetical written collection of Jesus’s sayings proposed by biblical scholars as a common source for material shared by the Gospels of Matthew and Luke.
|
E263231
|
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: Quelle | Statement: [Q source (hypothetical), alsoKnownAs, Quelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quelle Context triple: [Q source (hypothetical), alsoKnownAs, Quelle]
-
A.
Cosa
Cosa is an ancient Etruscan and later Roman coastal town in Tuscany, Italy, known for its archaeological remains overlooking the Tyrrhenian Sea.
-
B.
The What
"The What" is a track from The Notorious B.I.G.'s landmark debut album "Ready to Die," featuring a guest verse from Method Man.
-
C.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
- 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: Quelle Triple: [Q source (hypothetical), alsoKnownAs, Quelle]
Generated description
Quelle is a hypothetical written collection of Jesus’s sayings proposed by biblical scholars as a common source for material shared by the Gospels of Matthew and Luke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quelle Target entity description: Quelle is a hypothetical written collection of Jesus’s sayings proposed by biblical scholars as a common source for material shared by the Gospels of Matthew and Luke.
-
A.
Cosa
Cosa is an ancient Etruscan and later Roman coastal town in Tuscany, Italy, known for its archaeological remains overlooking the Tyrrhenian Sea.
-
B.
The What
"The What" is a track from The Notorious B.I.G.'s landmark debut album "Ready to Die," featuring a guest verse from Method Man.
-
C.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c5f0948190b4ea729693d8c306 |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3de3d548190b3eda939fa5f72b3 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4b83ec48190b2852daef0767ac8 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb57f0e90819093b096955f9cc2b5 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:57 p.m.