Triple
T8602106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Perrineau |
E203702
|
entity |
| Predicate | televisionRole |
P1668
|
FINISHED |
| Object |
Boyd Stevens in From
Boyd Stevens is the determined and burdened sheriff-like leader of a mysterious, inescapable town in the horror series "From."
|
E744845
|
NE FINISHED |
How this triple was built (4 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: Boyd Stevens in From | Statement: [Harold Perrineau, televisionRole, Boyd Stevens in From]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boyd Stevens in From Context triple: [Harold Perrineau, televisionRole, Boyd Stevens in From]
-
A.
Jamie Boyd
Jamie Boyd is a physicist who serves as the spokesperson and leading representative for the FASER experiment at CERN.
-
B.
Jack William Boyd
Jack William Boyd is the son of Scottish actor and musician Billy Boyd.
-
C.
Tom Stevens
Tom Stevens is a fictional character played by actor Hugh Marlowe, best known from mid-20th-century American film and television.
-
D.
Hazard Stevens
Hazard Stevens was a 19th-century American soldier, politician, and mountaineer best known for making the first documented ascent of Mount Rainier.
-
E.
Orin Boyd
Orin Boyd is the tough, rule-breaking Detroit police detective portrayed by Steven Seagal in the action film "Exit Wounds."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Boyd Stevens in From Triple: [Harold Perrineau, televisionRole, Boyd Stevens in From]
Generated description
Boyd Stevens is the determined and burdened sheriff-like leader of a mysterious, inescapable town in the horror series "From."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boyd Stevens in From Target entity description: Boyd Stevens is the determined and burdened sheriff-like leader of a mysterious, inescapable town in the horror series "From."
-
A.
Jamie Boyd
Jamie Boyd is a physicist who serves as the spokesperson and leading representative for the FASER experiment at CERN.
-
B.
Jack William Boyd
Jack William Boyd is the son of Scottish actor and musician Billy Boyd.
-
C.
Tom Stevens
Tom Stevens is a fictional character played by actor Hugh Marlowe, best known from mid-20th-century American film and television.
-
D.
Hazard Stevens
Hazard Stevens was a 19th-century American soldier, politician, and mountaineer best known for making the first documented ascent of Mount Rainier.
-
E.
Orin Boyd
Orin Boyd is the tough, rule-breaking Detroit police detective portrayed by Steven Seagal in the action film "Exit Wounds."
- F. None of above. chosen
Provenance (5 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46da609881909a6d851915e8df14 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f13f7081908317c1b2d87a51b2 |
completed | April 2, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69cea9d0dad0819095134f6f8cafb4c0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa7025388190a3f17aca46d4858e |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:24 p.m.