Triple
T16972592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de l’Agly |
E411722
|
entity |
| Predicate | hasAppellation |
P29604
|
FINISHED |
| Object |
Maury Sec
Maury Sec is a dry red wine appellation from France’s Roussillon region, known for robust, Grenache-based wines with pronounced Mediterranean character.
|
E1243183
|
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: Maury Sec | Statement: [Vallée de l’Agly, hasAppellation, Maury Sec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maury Sec Context triple: [Vallée de l’Agly, hasAppellation, Maury Sec]
-
A.
Maury Laws
Maury Laws was an American composer and musical director best known for scoring numerous Rankin/Bass animated holiday specials in the 1960s and 1970s.
-
B.
Maury Dann
Maury Dann is the ruthless, hard-living country singer and antihero at the center of the 1973 crime drama film "Payday."
-
C.
Thomas H. Marshburn
Thomas H. Marshburn is an American physician and NASA astronaut who has flown multiple space shuttle and International Space Station missions, including long-duration stays in orbit.
-
D.
Smedley Darlington
Smedley Darlington was a 19th-century American politician and banker from Pennsylvania who served as a U.S. Representative.
-
E.
Cal Maddox
Cal Maddox is a charming, supportive baseball coach and key romantic lead in the Sweet Magnolias series.
- 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: Maury Sec Triple: [Vallée de l’Agly, hasAppellation, Maury Sec]
Generated description
Maury Sec is a dry red wine appellation from France’s Roussillon region, known for robust, Grenache-based wines with pronounced Mediterranean character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maury Sec Target entity description: Maury Sec is a dry red wine appellation from France’s Roussillon region, known for robust, Grenache-based wines with pronounced Mediterranean character.
-
A.
Maury Laws
Maury Laws was an American composer and musical director best known for scoring numerous Rankin/Bass animated holiday specials in the 1960s and 1970s.
-
B.
Maury Dann
Maury Dann is the ruthless, hard-living country singer and antihero at the center of the 1973 crime drama film "Payday."
-
C.
Thomas H. Marshburn
Thomas H. Marshburn is an American physician and NASA astronaut who has flown multiple space shuttle and International Space Station missions, including long-duration stays in orbit.
-
D.
Smedley Darlington
Smedley Darlington was a 19th-century American politician and banker from Pennsylvania who served as a U.S. Representative.
-
E.
Cal Maddox
Cal Maddox is a charming, supportive baseball coach and key romantic lead in the Sweet Magnolias series.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ae47f08190a13e98d20aba7f16 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d471d4248190acf40b6c11926a65 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d503f4f08190a0dcdb050d5bc7a3 |
completed | May 10, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d5adee908190a13bfc765e7c8f06 |
completed | May 10, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:31 a.m.