Triple
T17054885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther Stickell |
E413793
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Benji Dunn |
E413792
|
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: Benji Dunn | Statement: [Luther Stickell, allyOf, Benji Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benji Dunn Context triple: [Luther Stickell, allyOf, Benji Dunn]
-
A.
Benji Dunn
chosen
Benji Dunn is a tech-savvy field agent and close ally of Ethan Hunt in the Mission: Impossible film series, known for his blend of comic relief and resourcefulness.
-
B.
Benji McDowell
Benji McDowell is an American football coach best known for leading the Washington Valor in the Arena Football League.
-
C.
Benji Wojin
Benji Wojin is one of the children of Google co-founder Sergey Brin.
-
D.
Benji Campbell
Benji Campbell is a central love interest and openly gay high school student in the teen drama series "Love, Victor."
-
E.
Benji Hughes
Benji Hughes is an American singer-songwriter known for his offbeat, melodic indie rock and witty, narrative-driven lyrics.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa54c808190a6e8333c413f4e26 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed60d3481909c8144bcb01316a1 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.