Triple
T12172777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Don't Want to Be |
E290010
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | The WB |
E429716
|
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: The WB | Statement: [I Don't Want to Be, associatedWith, The WB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The WB Context triple: [I Don't Want to Be, associatedWith, The WB]
-
A.
The WB
chosen
The WB was an American broadcast television network that operated from 1995 to 2006, best known for its lineup of youth-oriented dramas and genre series.
-
B.
The CW
The CW is an American broadcast television network known for targeting younger audiences with series in genres like teen drama, superhero shows, and fantasy.
-
C.
Warner
Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
-
D.
Warner’s
Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
-
E.
Kids' WB
Kids' WB was a popular American children's programming block that aired animated series and family-friendly shows on The WB network, especially during the late 1990s and early 2000s.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915dab42881908e2580c631d4d1cf |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e4deb308190aa1a99a78d46b461 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:50 p.m.