Triple
T17919825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Marie of Romania |
E448035
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Missy
Missy is the affectionate nickname of Queen Marie of Romania, the influential early 20th-century queen consort known for her political influence, diplomacy, and cultural impact in Romania.
|
E1297166
|
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: Missy | Statement: [Queen Marie of Romania, alsoKnownAs, Missy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Missy Context triple: [Queen Marie of Romania, alsoKnownAs, Missy]
-
A.
Missy
Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
-
B.
Missy
Missy is a small Swiss municipality located in the canton of Vaud.
-
C.
Missi
Missi is an American actress and singer known for her comedic and character roles in film and television, including appearances in "Dodgeball," "Galaxy Quest," and "Charlie and the Chocolate Factory."
-
D.
Missy Gold
Missy Gold is an American former child actress best known for her role as Katie Gatling on the 1980s sitcom "Benson."
-
E.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
- 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: Missy Triple: [Queen Marie of Romania, alsoKnownAs, Missy]
Generated description
Missy is the affectionate nickname of Queen Marie of Romania, the influential early 20th-century queen consort known for her political influence, diplomacy, and cultural impact in Romania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Missy Target entity description: Missy is the affectionate nickname of Queen Marie of Romania, the influential early 20th-century queen consort known for her political influence, diplomacy, and cultural impact in Romania.
-
A.
Missy
Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
-
B.
Missy
Missy is a small Swiss municipality located in the canton of Vaud.
-
C.
Missi
Missi is an American actress and singer known for her comedic and character roles in film and television, including appearances in "Dodgeball," "Galaxy Quest," and "Charlie and the Chocolate Factory."
-
D.
Missy Gold
Missy Gold is an American former child actress best known for her role as Katie Gatling on the 1980s sitcom "Benson."
-
E.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a309532881908633bd723923880f |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a032130dc1c819082168b89a41043e2 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0325567708819081ede6f64fec5035 |
completed | May 12, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03268624308190b80666dbcc527619 |
completed | May 12, 2026, 1:09 p.m. |
Created at: April 10, 2026, 10:20 a.m.