Triple
T14688082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raoul de Chagny |
E344964
|
entity |
| Predicate | antagonisticRelationshipWith |
P18963
|
FINISHED |
| Object |
Erik
Erik is the mysterious, disfigured musical genius known as the Phantom of the Opera in Gaston Leroux’s novel "The Phantom of the Opera."
|
E167663
|
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: Erik | Statement: [Raoul de Chagny, antagonisticRelationshipWith, Erik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Context triple: [Raoul de Chagny, antagonisticRelationshipWith, Erik]
-
A.
Erik
Erik is a masculine given name of Scandinavian origin that is widely used across various European countries.
-
B.
Erikli
Erikli is a Turkish bottled water brand known for its natural spring water, marketed under the Nestlé Waters portfolio.
-
C.
Erik Neander
Erik Neander is a Major League Baseball executive known for leading the Tampa Bay Rays’ front office and overseeing the club’s baseball operations and roster construction.
-
D.
Eskil
Eskil is a town and district in central Turkey known for its location within Aksaray Province on the Central Anatolian plateau.
-
E.
Erik Asla
Erik Asla is a Norwegian photographer known for his fashion and commercial work, as well as his former relationship with model Tyra Banks.
- 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: Erik Triple: [Raoul de Chagny, antagonisticRelationshipWith, Erik]
Generated description
Erik is the mysterious, disfigured musical genius known as the Phantom of the Opera in Gaston Leroux’s novel "The Phantom of the Opera."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erik Target entity description: Erik is the mysterious, disfigured musical genius known as the Phantom of the Opera in Gaston Leroux’s novel "The Phantom of the Opera."
-
A.
Erik
chosen
Erik is a masculine given name of Scandinavian origin that is widely used across various European countries.
-
B.
Erikli
Erikli is a Turkish bottled water brand known for its natural spring water, marketed under the Nestlé Waters portfolio.
-
C.
Erik Neander
Erik Neander is a Major League Baseball executive known for leading the Tampa Bay Rays’ front office and overseeing the club’s baseball operations and roster construction.
-
D.
Eskil
Eskil is a town and district in central Turkey known for its location within Aksaray Province on the Central Anatolian plateau.
-
E.
Erik Asla
Erik Asla is a Norwegian photographer known for his fashion and commercial work, as well as his former relationship with model Tyra Banks.
- F. None of above.
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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf080b7508190ac99b8bb6cfb1881 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf2843a1c8190a14f4ac4d3157e05 |
completed | May 8, 2026, 2:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf35ce9c48190b3a107bda3ffd126 |
completed | May 8, 2026, 2:29 p.m. |
Created at: April 10, 2026, 1:28 a.m.