Triple
T6082139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Mason |
E135547
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Drew Roy |
E134015
|
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: Drew Roy | Statement: [Hal Mason, portrayedBy, Drew Roy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drew Roy Context triple: [Hal Mason, portrayedBy, Drew Roy]
-
A.
Drew Roy
chosen
Drew Roy is an American actor best known for his role as Hal Mason on the science fiction television series "Falling Skies."
-
B.
Drew Ferguson
Drew Ferguson is an American Republican politician and dentist serving as a U.S. Representative from Georgia.
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Ryan O'Reily
Ryan O'Reily is a manipulative and street-smart Irish-American inmate known for his scheming and survival tactics in the HBO prison drama series "Oz."
-
E.
Drew Hansen
Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05774bc948190a446b27e83f7079b |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d57b5f481908d7df374837a486a |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:11 p.m.