Triple
T12733326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranvir Singh |
E304296
|
entity |
| Predicate | hasWorkedOn |
P922
|
FINISHED |
| Object | Loose Women |
E586187
|
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: Loose Women | Statement: [Ranvir Singh, hasWorkedOn, Loose Women]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loose Women Context triple: [Ranvir Singh, hasWorkedOn, Loose Women]
-
A.
Loose Women
chosen
Loose Women is a long-running British daytime talk show featuring a panel of female hosts discussing current affairs, entertainment, and personal topics.
-
B.
Loose Woman
Loose Woman is a poetry collection by Sandra Cisneros that explores themes of female identity, sexuality, and cultural heritage with bold, unapologetic voice.
-
C.
Woman's Hour
Woman's Hour is a long-running BBC Radio 4 magazine programme that focuses on issues, stories, and culture from women's perspectives.
-
D.
The Rosie Show
The Rosie Show was an American talk show hosted by comedian and actress Rosie O'Donnell that aired on the Oprah Winfrey Network (OWN).
-
E.
The Mary Whitehouse Experience
The Mary Whitehouse Experience was a popular late-1980s/early-1990s British radio and television comedy sketch show known for its sharp, satirical humor and for launching the careers of several prominent comedians.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646902408190b29268d864833b80 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8c38a88190853c4d14e2492599 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.