Triple
T13792016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7th Heaven |
E331420
|
entity |
| Predicate | originalRunStartNetwork |
P51134
|
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: [7th Heaven, originalRunStartNetwork, The WB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The WB Context triple: [7th Heaven, originalRunStartNetwork, 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
Warner is a small town located in Muskogee County in the state of Oklahoma, United States.
-
E.
Warner’s
Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce667c248190a9d0a0f1e9e228ae |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:11 p.m.