Triple
T13238600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Always (1989 film) |
E315218
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Ted Baker
Ted Baker is a fictional character who appears in the 1989 romantic fantasy film "Always."
|
E1028901
|
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: Ted Baker | Statement: [Always (1989 film), character, Ted Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Baker Context triple: [Always (1989 film), character, Ted Baker]
-
A.
Ted Baker
Ted Baker is a British fashion brand known for its contemporary clothing, accessories, and distinctive quirky styling.
-
B.
Frederic Heath
Frederic Heath was an American socialist politician, writer, and historian active in the late 19th and early 20th centuries, known for his leadership in early U.S. socialist movements.
-
C.
Ben Sherman
Ben Sherman is a rookie Los Angeles police officer and central protagonist in the television drama series "Southland," known for his moral struggles and on-the-job maturation.
-
D.
Reginald Tyrwhitt
Reginald Tyrwhitt was a British Royal Navy admiral noted for his leadership of destroyer forces in the North Sea during World War I.
-
E.
Paul Smith
Paul Smith is an American comic book artist best known for his influential early-1980s run on Marvel's Uncanny X-Men.
- 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: Ted Baker Triple: [Always (1989 film), character, Ted Baker]
Generated description
Ted Baker is a fictional character who appears in the 1989 romantic fantasy film "Always."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Baker Target entity description: Ted Baker is a fictional character who appears in the 1989 romantic fantasy film "Always."
-
A.
Ted Baker
Ted Baker is a British fashion brand known for its contemporary clothing, accessories, and distinctive quirky styling.
-
B.
Frederic Heath
Frederic Heath was an American socialist politician, writer, and historian active in the late 19th and early 20th centuries, known for his leadership in early U.S. socialist movements.
-
C.
Ben Sherman
Ben Sherman is a rookie Los Angeles police officer and central protagonist in the television drama series "Southland," known for his moral struggles and on-the-job maturation.
-
D.
Reginald Tyrwhitt
Reginald Tyrwhitt was a British Royal Navy admiral noted for his leadership of destroyer forces in the North Sea during World War I.
-
E.
Paul Smith
Paul Smith is an American comic book artist best known for his influential early-1980s run on Marvel's Uncanny X-Men.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff323a3c8190b46b24e69e653105 |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7013a368c8190a768f837f6551f5b |
completed | May 3, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7038563848190ae96538e30ecafd5 |
completed | May 3, 2026, 8:12 a.m. |
Created at: April 9, 2026, 9:23 p.m.