Triple
T12860349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michaiah |
E307568
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Samantha Bryant
Samantha Bryant is an American publicist best known as the wife of actor Colin Hanks.
|
E321295
|
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: Samantha Bryant | Statement: [Michaiah, relative, Samantha Bryant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samantha Bryant Context triple: [Michaiah, relative, Samantha Bryant]
-
A.
Samantha Bryant
Samantha Bryant is an American publicist and former production assistant best known as the wife of actor Colin Hanks.
-
B.
Samantha Thompson
Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
-
C.
Samantha Shane
Samantha Shane is a U.S. Navy petty officer and physical therapist who becomes a key member of the human resistance against an alien invasion in the science-fiction film "Battleship."
-
D.
Samantha Lemole
Samantha Lemole is an actress best known for her role in the horror film "Saw VI."
-
E.
Samantha Wheeler
Samantha Wheeler is a formidable and ambitious corporate lawyer introduced in later seasons of the TV series "Suits," known for her sharp legal skills and fierce loyalty.
- 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: Samantha Bryant Triple: [Michaiah, relative, Samantha Bryant]
Generated description
Samantha Bryant is an American publicist best known as the wife of actor Colin Hanks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samantha Bryant Target entity description: Samantha Bryant is an American publicist best known as the wife of actor Colin Hanks.
-
A.
Samantha Bryant
chosen
Samantha Bryant is an American publicist and former production assistant best known as the wife of actor Colin Hanks.
-
B.
Samantha Thompson
Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
-
C.
Samantha Shane
Samantha Shane is a U.S. Navy petty officer and physical therapist who becomes a key member of the human resistance against an alien invasion in the science-fiction film "Battleship."
-
D.
Samantha Lemole
Samantha Lemole is an actress best known for her role in the horror film "Saw VI."
-
E.
Samantha Wheeler
Samantha Wheeler is a formidable and ambitious corporate lawyer introduced in later seasons of the TV series "Suits," known for her sharp legal skills and fierce loyalty.
- F. None of above.
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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708ba74881909b16c1e2ef5115db |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0e393fc8190812380a3e41778bf |
completed | May 3, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69f6c20a1eb881908a28dc884c2005ef |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 5:37 p.m.