Triple
T19469549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Meet Group |
E487085
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | Skout |
—
|
NE NERFINISHED |
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: Skout | Statement: [The Meet Group, operates, Skout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skout Context triple: [The Meet Group, operates, Skout]
-
A.
Skout
chosen
Skout is a location-based social networking and dating app that helps users meet new people nearby and around the world.
-
B.
The Scout
The Scout is a 1994 sports comedy film in which Brendan Fraser plays a phenomenally talented but troubled baseball pitcher discovered by a down-on-his-luck scout.
-
C.
Scouten
Scouten is a surname most notably associated with Rex Scouten, a longtime White House staff member and former White House Chief Usher.
-
D.
Troop
Troop is a surname most notably associated with the fictional sea captain Disko Troop from Rudyard Kipling’s novel "Captains Courageous."
-
E.
Scoops Troop
Scoops Troop is the informal name for the group of characters in Stranger Things—primarily Steve, Robin, Dustin, and Erica—who work together while Steve and Robin are employed at the Scoops Ahoy ice cream shop in Starcourt Mall.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e6fd988190b79be580b65746fe |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.