Triple
T5235455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Felton |
E118209
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Felton
Felton is an English surname most widely recognized through actor Tom Felton, known for his role as Draco Malfoy in the Harry Potter film series.
|
E505396
|
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: Felton | Statement: [Tom Felton, familyName, Felton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felton Context triple: [Tom Felton, familyName, Felton]
-
A.
Felton
Felton is the middle name of legendary American basketball player and civil rights activist William Felton Russell.
-
B.
Lucan the Butler
Lucan the Butler is a knight of the Round Table in Arthurian legend, known for his loyalty and service to King Arthur.
-
C.
Mr. Furnival
Mr. Furnival is a prominent London barrister in Anthony Trollope’s novel "Orley Farm," known for his legal skill, social ambition, and complex personal life.
-
D.
Mr. B
Mr. B is a music producer known for his work on Beyoncé’s debut solo album "Dangerously in Love."
-
E.
Mr. Skeffington
Mr. Skeffington is a 1944 drama film starring Bette Davis, known for its exploration of vanity, marriage, and personal transformation.
- 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: Felton Triple: [Tom Felton, familyName, Felton]
Generated description
Felton is an English surname most widely recognized through actor Tom Felton, known for his role as Draco Malfoy in the Harry Potter film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Felton Target entity description: Felton is an English surname most widely recognized through actor Tom Felton, known for his role as Draco Malfoy in the Harry Potter film series.
-
A.
Felton
Felton is the middle name of legendary American basketball player and civil rights activist William Felton Russell.
-
B.
Lucan the Butler
Lucan the Butler is a knight of the Round Table in Arthurian legend, known for his loyalty and service to King Arthur.
-
C.
Mr. Furnival
Mr. Furnival is a prominent London barrister in Anthony Trollope’s novel "Orley Farm," known for his legal skill, social ambition, and complex personal life.
-
D.
Mr. B
Mr. B is a music producer known for his work on Beyoncé’s debut solo album "Dangerously in Love."
-
E.
Mr. Skeffington
Mr. Skeffington is a 1944 drama film starring Bette Davis, known for its exploration of vanity, marriage, and personal transformation.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b064b6881909f5746f55aa422c6 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef81cca948190ab00302787367f43 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69befa15850481908fd414672620e0a3 |
completed | March 21, 2026, 8:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69befa65a42c81908b8fe5661e9567cb |
completed | March 21, 2026, 8:07 p.m. |
Created at: March 20, 2026, 1:49 p.m.