Triple
T12951227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl in the Fireplace |
E309896
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Euros Lyn
Euros Lyn is a Welsh television director known for his work on acclaimed British series such as Doctor Who, Torchwood, and Sherlock.
|
E1010618
|
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: Euros Lyn | Statement: [The Girl in the Fireplace, director, Euros Lyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euros Lyn Context triple: [The Girl in the Fireplace, director, Euros Lyn]
-
A.
Euralille
Euralille is a major urban development and business district in Lille, France, known for its high-speed rail hub and contemporary architecture integrating commercial, office, and public spaces.
-
B.
Lyn
Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
-
C.
Elezen
Elezen are a tall, long-eared elven-like race in Final Fantasy XIV known for their grace, proud traditions, and prominent role in the realm of Eorzea.
-
D.
Leueen
Leueen is a feminine given name most notably associated with the British actress and playwright Leueen MacGrath.
-
E.
Elviro
Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
- 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: Euros Lyn Triple: [The Girl in the Fireplace, director, Euros Lyn]
Generated description
Euros Lyn is a Welsh television director known for his work on acclaimed British series such as Doctor Who, Torchwood, and Sherlock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Euros Lyn Target entity description: Euros Lyn is a Welsh television director known for his work on acclaimed British series such as Doctor Who, Torchwood, and Sherlock.
-
A.
Euralille
Euralille is a major urban development and business district in Lille, France, known for its high-speed rail hub and contemporary architecture integrating commercial, office, and public spaces.
-
B.
Lyn
Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
-
C.
Elezen
Elezen are a tall, long-eared elven-like race in Final Fantasy XIV known for their grace, proud traditions, and prominent role in the realm of Eorzea.
-
D.
Leueen
Leueen is a feminine given name most notably associated with the British actress and playwright Leueen MacGrath.
-
E.
Elviro
Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1dc4c88190ab27b832d6a7c556 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7a10f48190b7e0d32725f83fb6 |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b02e3b9881909387c1f70176a1bd |
completed | May 3, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b11ced30819090f67a0b1e1369aa |
completed | May 3, 2026, 2:21 a.m. |
Created at: April 9, 2026, 5:43 p.m.