Triple
T12854860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Everglot |
E307424
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Everglot
Everglot is the aristocratic family surname of Victoria in Tim Burton’s animated film "Corpse Bride."
|
E1006801
|
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: Everglot | Statement: [Victoria Everglot, familyName, Everglot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everglot Context triple: [Victoria Everglot, familyName, Everglot]
-
A.
Papago
Papago is an older name for the Tohono O'odham, a Native American people indigenous to the Sonoran Desert region of the southwestern United States and northern Mexico.
-
B.
Bable
Bable is another name for the Asturian language, a Romance language spoken primarily in the Asturias region of northern Spain.
-
C.
Google Translate
Google Translate is a multilingual neural machine translation service by Google that instantly converts text, speech, images, and web pages between numerous languages.
-
D.
Zattoo
Zattoo is an internet-based live TV and streaming platform that allows users to watch television channels online across various devices.
-
E.
Yandex Translate
Yandex Translate is an online machine translation service by Yandex that supports multiple languages for text, website, and document translation.
- 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: Everglot Triple: [Victoria Everglot, familyName, Everglot]
Generated description
Everglot is the aristocratic family surname of Victoria in Tim Burton’s animated film "Corpse Bride."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Everglot Target entity description: Everglot is the aristocratic family surname of Victoria in Tim Burton’s animated film "Corpse Bride."
-
A.
Papago
Papago is an older name for the Tohono O'odham, a Native American people indigenous to the Sonoran Desert region of the southwestern United States and northern Mexico.
-
B.
Bable
Bable is another name for the Asturian language, a Romance language spoken primarily in the Asturias region of northern Spain.
-
C.
Google Translate
Google Translate is a multilingual neural machine translation service by Google that instantly converts text, speech, images, and web pages between numerous languages.
-
D.
Zattoo
Zattoo is an internet-based live TV and streaming platform that allows users to watch television channels online across various devices.
-
E.
Yandex Translate
Yandex Translate is an online machine translation service by Yandex that supports multiple languages for text, website, and document translation.
- F. None of above. chosen
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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97021df7481909cd42a0f72040aa5 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba9a53c81908e9ed120f6cb94af |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 9, 2026, 5:37 p.m.