Triple
T5019252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Harrington |
E112808
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Robin Buckley |
E277680
|
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: Robin Buckley | Statement: [Steve Harrington, friendOf, Robin Buckley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Buckley Context triple: [Steve Harrington, friendOf, Robin Buckley]
-
A.
Robin Buckley
chosen
Robin Buckley is a witty, sharp-tongued Hawkins teen and Steve Harrington’s close friend who works with him at Scoops Ahoy and later helps uncover sinister mysteries in the series Stranger Things.
-
B.
Ann Buck
Ann Buck is known as the former wife of American sportscaster Joe Buck.
-
C.
Betsy Blair
Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
-
D.
Julie Buck
Julie Buck is a member of the Buck family, known primarily as a relative of American sportscaster Joe Buck.
-
E.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7342c62881909acb35849da8761c |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7eae20c81908e5854f5d66a69b2 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:35 p.m.