Triple
T4459561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smallville |
E98217
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Allison Mack
Allison Mack is an American actress best known for her role as Chloe Sullivan on the television series "Smallville."
|
E444834
|
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: Allison Mack | Statement: [Smallville, stars, Allison Mack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allison Mack Context triple: [Smallville, stars, Allison Mack]
-
A.
Amy Acker
Amy Acker is an American actress best known for her roles in television series such as "Angel," "Person of Interest," and "Dollhouse."
-
B.
Tiffani Thiessen
Tiffani Thiessen is an American actress best known for her roles on the television series "Saved by the Bell" and "Beverly Hills, 90210."
-
C.
Heather Lind
Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
-
D.
Jorja Fox
Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
-
E.
Angie Harmon
Angie Harmon is an American actress and former model best known for her starring role as detective Jane Rizzoli on the television series "Rizzoli & Isles."
- 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: Allison Mack Triple: [Smallville, stars, Allison Mack]
Generated description
Allison Mack is an American actress best known for her role as Chloe Sullivan on the television series "Smallville."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allison Mack Target entity description: Allison Mack is an American actress best known for her role as Chloe Sullivan on the television series "Smallville."
-
A.
Amy Acker
Amy Acker is an American actress best known for her roles in television series such as "Angel," "Person of Interest," and "Dollhouse."
-
B.
Tiffani Thiessen
Tiffani Thiessen is an American actress best known for her roles on the television series "Saved by the Bell" and "Beverly Hills, 90210."
-
C.
Heather Lind
Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
-
D.
Jorja Fox
Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
-
E.
Angie Harmon
Angie Harmon is an American actress and former model best known for her starring role as detective Jane Rizzoli on the television series "Rizzoli & Isles."
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b66b31c9488190bc24f802fff24073 |
completed | March 15, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b66c8e50a4819083ff234d01e7f249 |
completed | March 15, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b66e3b620c8190adeeadb941fde62d |
completed | March 15, 2026, 8:30 a.m. |
Created at: March 12, 2026, 11:33 p.m.