Triple
T1407663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted 3 (announced) |
E31730
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object |
Ted (TV series)
Ted (TV series) is a comedy television prequel to the "Ted" films, following the foul-mouthed teddy bear’s misadventures living with a teenage John Bennett in the 1990s.
|
E161223
|
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 (TV series) | Statement: [Ted 3 (announced), relatedWork, Ted (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted (TV series) Context triple: [Ted 3 (announced), relatedWork, Ted (TV series)]
-
A.
Ted 2
Ted 2 is a 2015 American comedy film and sequel to Ted, following the foul-mouthed talking teddy bear as he fights for his civil rights alongside his best friend.
-
B.
Ted
Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
-
C.
Ted
Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
-
D.
Bob (TV series)
Bob (TV series) is an American sitcom starring comedian Bob Newhart as a comic book artist, which aired on CBS in the early 1990s.
-
E.
Ed, Edd n Eddy
Ed, Edd n Eddy is an animated comedy series following three scheming friends in a suburban cul-de-sac as they devise elaborate scams to earn money for jawbreakers.
- 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 (TV series) Triple: [Ted 3 (announced), relatedWork, Ted (TV series)]
Generated description
Ted (TV series) is a comedy television prequel to the "Ted" films, following the foul-mouthed teddy bear’s misadventures living with a teenage John Bennett in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted (TV series) Target entity description: Ted (TV series) is a comedy television prequel to the "Ted" films, following the foul-mouthed teddy bear’s misadventures living with a teenage John Bennett in the 1990s.
-
A.
Ted 2
Ted 2 is a 2015 American comedy film and sequel to Ted, following the foul-mouthed talking teddy bear as he fights for his civil rights alongside his best friend.
-
B.
Ted
Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
-
C.
Ted
Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
-
D.
Bob (TV series)
Bob (TV series) is an American sitcom starring comedian Bob Newhart as a comic book artist, which aired on CBS in the early 1990s.
-
E.
Ed, Edd n Eddy
Ed, Edd n Eddy is an animated comedy series following three scheming friends in a suburban cul-de-sac as they devise elaborate scams to earn money for jawbreakers.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace5770ea08190ac91b47a4ed5bf35 |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace62a94e88190883d25cdb748e8c1 |
completed | March 8, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace68ab3788190bc3b55dd9a0fe267 |
completed | March 8, 2026, 3:01 a.m. |
Created at: March 1, 2026, 7:59 p.m.