Triple
T1566812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney XD |
E33449
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object |
Freeform
Freeform is an American cable television network owned by Disney that primarily targets young adults with a mix of original series, movies, and acquired programming.
|
E177699
|
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: Freeform | Statement: [Disney XD, sisterChannel, Freeform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freeform Context triple: [Disney XD, sisterChannel, Freeform]
-
A.
Libre
Libre is a popular Yves Saint Laurent fragrance known for its bold, modern floral scent that blends lavender, orange blossom, and vanilla.
-
B.
Carefree
"Carefree" is a 1938 musical comedy film starring Fred Astaire and Ginger Rogers, known for its blend of dance, romance, and screwball humor.
-
C.
Feel Free
Feel Free is a 2018 essay collection by British author Zadie Smith that explores culture, politics, literature, and personal experience with her characteristic wit and insight.
-
D.
Alright
"Alright" is a song featured on John Legend's debut studio album "Get Lifted."
-
E.
Free to Love
"Free to Love" is a novel by Ivana Trump that blends romance and high society drama, drawing on her experiences in the worlds of wealth, fashion, and power.
- 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: Freeform Triple: [Disney XD, sisterChannel, Freeform]
Generated description
Freeform is an American cable television network owned by Disney that primarily targets young adults with a mix of original series, movies, and acquired programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freeform Target entity description: Freeform is an American cable television network owned by Disney that primarily targets young adults with a mix of original series, movies, and acquired programming.
-
A.
Libre
Libre is a popular Yves Saint Laurent fragrance known for its bold, modern floral scent that blends lavender, orange blossom, and vanilla.
-
B.
Carefree
"Carefree" is a 1938 musical comedy film starring Fred Astaire and Ginger Rogers, known for its blend of dance, romance, and screwball humor.
-
C.
Feel Free
Feel Free is a 2018 essay collection by British author Zadie Smith that explores culture, politics, literature, and personal experience with her characteristic wit and insight.
-
D.
Alright
"Alright" is a song featured on John Legend's debut studio album "Get Lifted."
-
E.
Free to Love
"Free to Love" is a novel by Ivana Trump that blends romance and high society drama, drawing on her experiences in the worlds of wealth, fashion, and power.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908a0314c8190a5ce3e32dd9035db |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad371b99fc8190b8af03444fd1252b |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad37e306948190bbaa14829ce094e6 |
completed | March 8, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38d106348190835d753c6cffcc48 |
completed | March 8, 2026, 8:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.