Triple
T14709389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Internship |
E345507
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Dylan O’Brien |
E252468
|
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: Dylan O’Brien | Statement: [The Internship, starring, Dylan O’Brien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dylan O’Brien Context triple: [The Internship, starring, Dylan O’Brien]
-
A.
Dylan O'Brien
chosen
Dylan O'Brien is an American actor best known for starring in the "Maze Runner" film series and the TV show "Teen Wolf."
-
B.
Declan Whitebloom
Declan Whitebloom is a British music video director known for his visually polished work with major pop artists.
-
C.
Logan Lerman
Logan Lerman is an American actor best known for his lead role in the "Percy Jackson" film series and performances in movies such as "The Perks of Being a Wallflower" and "Fury."
-
D.
Evan Alex
Evan Alex is an American child actor best known for his role in Jordan Peele’s horror film "Us."
-
E.
Ethan Peck
Ethan Peck is an American actor best known for portraying Spock in the television series "Star Trek: Strange New Worlds."
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a996708190834733bfc669c3d3 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:28 a.m.