Triple
T11997402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Escalus |
E285565
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Count Paris |
E592916
|
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: Count Paris | Statement: [Prince Escalus, relative, Count Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count Paris Context triple: [Prince Escalus, relative, Count Paris]
-
A.
Count of Paris
chosen
Count of Paris was a powerful medieval noble title associated with the rulers of the Paris region, notably held by Hugh Capet before he became king of France and founded the Capetian dynasty.
-
B.
Paris Bound
Paris Bound is a 1927 stage comedy by American playwright Philip Barry that explores modern marriage and sexual freedom among sophisticated New Yorkers.
-
C.
Paris 2
Paris 2 is the commonly used short name for Université Paris 2 Panthéon-Assas, a prestigious French university renowned for its programs in law and social sciences.
-
D.
Quais of Paris
The Quais of Paris are the historic embankments and promenades lining the River Seine, renowned for their iconic views, bookstalls, and central role in the city's cultural and urban life.
-
E.
Paris Qualles
Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c172788190b92042e9d10a48bf |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47281ea7c819081921bc125f8895f |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.