Triple
T654399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted |
E11614
|
entity |
| Predicate | hasSequel |
P1961
|
FINISHED |
| Object | Ted 2 |
E5048
|
NE FINISHED |
How this triple was built (2 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 2 | Statement: [Ted, hasSequel, Ted 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted 2 Context triple: [Ted, hasSequel, Ted 2]
-
A.
Ted 2
chosen
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 3 (announced)
Ted 3 (announced) is the planned third installment in the raunchy comedy film series about a foul-mouthed talking teddy bear created by Seth MacFarlane.
-
C.
Ted
Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
-
D.
Ted
Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
-
E.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4bb5b881908a18b5ec1c94e0cf |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a591486b708190b0191e958c6c8851 |
completed | March 2, 2026, 1:31 p.m. |
Created at: March 1, 2026, 7:36 p.m.