Triple
T17026091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martial Law |
E413066
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tom Wright |
E1060952
|
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: Tom Wright | Statement: [Martial Law, starring, Tom Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Wright Context triple: [Martial Law, starring, Tom Wright]
-
A.
Tom Wright
Tom Wright is a British architect best known for designing Dubai’s iconic sail-shaped Burj Al Arab hotel.
-
B.
Tom Wright
chosen
Tom Wright is an actor known for his role in the film "Barbershop."
-
C.
Ray Wright
Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
-
D.
Chris Wright
Chris Wright is a British music industry executive best known as the co-founder of the influential record label Chrysalis Records.
-
E.
Sam Wright
Sam Wright is an individual known primarily as a relative of George Wright.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012334c3b48190b125ab926450c45b |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.