Triple
T14414156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divergent |
E357404
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Theo James |
E873795
|
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: Theo James | Statement: [Divergent, starring, Theo James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theo James Context triple: [Divergent, starring, Theo James]
-
A.
Theo James
chosen
Theo James is a British actor known for his roles in the Divergent film series and the HBO anthology series The White Lotus.
-
B.
Augustus Prew
Augustus Prew is a British actor known for his roles in film and television, including projects like "About a Boy," "The Borgias," and "Prison Break."
-
C.
Xavier Samuel
Xavier Samuel is an Australian actor known for his roles in films such as "The Twilight Saga: Eclipse," "Adore," and various Australian and international productions.
-
D.
Nicholas Brendon
Nicholas Brendon is an American actor best known for playing Xander Harris on the television series "Buffy the Vampire Slayer."
-
E.
Kyle McAvoy
Kyle McAvoy is the young, idealistic law student protagonist of John Grisham’s legal thriller "The Associate," who becomes entangled in a high-stakes blackmail scheme.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648784048190a9c7e95bfeec8b23 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:17 a.m.