Triple
T13467251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leclerc |
E311535
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Leclercq |
E252081
|
NE FINISHED |
How this triple was built (2 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: Leclercq | Statement: [Leclerc, hasVariant, Leclercq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leclercq Context triple: [Leclerc, hasVariant, Leclercq]
-
A.
Le Clercq
chosen
Le Clercq is the surname of Tanaquil Le Clercq, the renowned mid-20th-century American ballerina associated with the New York City Ballet.
-
B.
Ducrot
Ducrot is a French surname most notably borne by Auguste-Alexandre Ducrot, a 19th-century French general.
-
C.
Sainlez
Sainlez is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
-
D.
Tserclaes
Tserclaes is the noble family name of Johann Tserclaes, Count of Tilly, a prominent general of the Catholic League during the early stages of the Thirty Years' War.
-
E.
Jacquère
Jacquère is a light, crisp white wine grape variety primarily grown in the Alpine regions of eastern France, known for producing fresh, mineral-driven wines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf101a1081909f2aba6da47baacc |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74629f1408190b54194fe794be39a |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.