Triple
T8719656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quasimodo |
E206979
|
entity |
| Predicate | protects |
P1040
|
FINISHED |
| Object | Esmeralda |
E206980
|
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: Esmeralda | Statement: [Quasimodo, protects, Esmeralda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esmeralda Context triple: [Quasimodo, protects, Esmeralda]
-
A.
Esmeralda
chosen
Esmeralda is a compassionate Romani street dancer in Victor Hugo’s novel "Notre-Dame de Paris," whose beauty and kindness captivate several central characters and drive much of the story’s tragedy.
-
B.
Béatrice
Béatrice is a French royal given name borne by Sophie Hélène Béatrice of France, a princess of the Bourbon dynasty.
-
C.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
D.
Odile
Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
-
E.
Margueritte
Margueritte is a given name and surname, most commonly recognized as a French variant or spelling related to the name Marguerite.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28ec7148819096f7fa33e4588b62 |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:36 p.m.