Triple
T22397131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegiant |
E553663
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Ansel Elgort |
—
|
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: Ansel Elgort | Statement: [Allegiant, stars, Ansel Elgort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ansel Elgort Context triple: [Allegiant, stars, Ansel Elgort]
-
A.
Ansel Elgort
chosen
Ansel Elgort is an American actor and musician best known for his roles in films such as "The Fault in Our Stars," the "Divergent" series, and "Baby Driver."
-
B.
Arthur Elgort
Arthur Elgort is an American fashion photographer renowned for his candid, snapshot-style images, particularly in Vogue magazine.
-
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.
Dane DeHaan
Dane DeHaan is an American actor known for his intense, often offbeat performances in films such as Chronicle, The Amazing Spider-Man 2, and Valerian and the City of a Thousand Planets.
-
E.
Miles Teller
Miles Teller is an American actor known for his versatile performances in films such as Whiplash, The Spectacular Now, and Top Gun: Maverick.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585f67108190b8d3f23eaa0ed120 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.