Triple
T13197535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enguerrand III, Lord of Coucy |
E314151
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Alix
Alix was a medieval French noblewoman, known primarily as a member of the influential Coucy family and daughter of Enguerrand III, Lord of Coucy.
|
E1026340
|
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: Alix | Statement: [Enguerrand III, Lord of Coucy, child, Alix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alix Context triple: [Enguerrand III, Lord of Coucy, child, Alix]
-
A.
Alix
Alix is the given name of Alix of Hesse and by Rhine, who became Empress Alexandra Feodorovna of Russia as the wife of Tsar Nicholas II.
-
B.
Alexis
Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
-
C.
Alisa
Alisa is the birth name of Ayn Rand, the Russian-American novelist and philosopher known for developing Objectivism and writing works such as "Atlas Shrugged" and "The Fountainhead."
-
D.
Anastasie
Anastasie is the given name of Anastasie de Lafayette, a French noblewoman associated with the influential Lafayette family.
-
E.
Axelina
Axelina is a feminine given name of Scandinavian origin, used as one of the personal names of Carin Axelina Hulda Fock.
- 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: Alix Triple: [Enguerrand III, Lord of Coucy, child, Alix]
Generated description
Alix was a medieval French noblewoman, known primarily as a member of the influential Coucy family and daughter of Enguerrand III, Lord of Coucy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alix Target entity description: Alix was a medieval French noblewoman, known primarily as a member of the influential Coucy family and daughter of Enguerrand III, Lord of Coucy.
-
A.
Alix
Alix is the given name of Alix of Hesse and by Rhine, who became Empress Alexandra Feodorovna of Russia as the wife of Tsar Nicholas II.
-
B.
Alexis
Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
-
C.
Alisa
Alisa is the birth name of Ayn Rand, the Russian-American novelist and philosopher known for developing Objectivism and writing works such as "Atlas Shrugged" and "The Fountainhead."
-
D.
Anastasie
Anastasie is the given name of Anastasie de Lafayette, a French noblewoman associated with the influential Lafayette family.
-
E.
Axelina
Axelina is a feminine given name of Scandinavian origin, used as one of the personal names of Carin Axelina Hulda Fock.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c64290881909759ef3a281b6a68 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f605a48c81909373fcd9dd896b3d |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f6e10f2481909b405169dd7e5cf9 |
completed | May 3, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f73b301881909d792dfebd2e468f |
completed | May 3, 2026, 7:20 a.m. |
Created at: April 9, 2026, 9:16 p.m.