Triple
T18829528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Châtillon |
E460485
|
entity |
| Predicate | nobleTitle |
P914
|
FINISHED |
| Object | Count of Chartres |
—
|
NE NERFINISHED |
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: Count of Chartres | Statement: [House of Châtillon, nobleTitle, Count of Chartres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count of Chartres Context triple: [House of Châtillon, nobleTitle, Count of Chartres]
-
A.
Counts of Chartres
chosen
The Counts of Chartres were medieval French nobles who ruled the county of Chartres, often associated with the influential House of Blois and its territorial power in northern France.
-
B.
duc de Chartres
Duc de Chartres is a French noble title historically borne by junior members of the royal House of Orléans.
-
C.
Les Cathédrales
Les Cathédrales is a celebrated symbolist poem by Québécois poet Émile Nelligan, renowned for its rich imagery and exploration of spiritual and existential themes.
-
D.
Counts of Troyes
The Counts of Troyes were medieval French nobles who ruled the important Champagne city of Troyes and formed a key branch of the influential House of Blois.
-
E.
Notre Dame de Paris
Notre Dame de Paris is a French-Canadian musical adaptation of Victor Hugo’s novel "The Hunchback of Notre-Dame," renowned for its dramatic score and large-scale stage productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9981be88190b709c0e72ad3f7e6 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.