Triple
T1108057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Looper |
E25530
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Piper Perabo
Piper Perabo is an American actress known for her roles in films like "Coyote Ugly" and the TV series "Covert Affairs."
|
E160315
|
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: Piper Perabo | Statement: [Looper, starring, Piper Perabo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piper Perabo Context triple: [Looper, starring, Piper Perabo]
-
A.
Laura Prepon
Laura Prepon is an American actress best known for her roles on the television series That '70s Show and Orange Is the New Black.
-
B.
Lacey Chabert
Lacey Chabert is an American actress and voice actress best known for her roles in the film "Mean Girls," numerous Hallmark Channel movies, and early voice work in animated series.
-
C.
Pia Ricci
Pia Ricci is a sibling of American actress Christina Ricci, known primarily for her family connection to the film star.
-
D.
Holly Rae Taylor
Holly Rae Taylor is an American visual artist and the longtime partner of cartoonist and author Alison Bechdel.
-
E.
Torri Higginson
Torri Higginson is a Canadian actress best known for her role as Dr. Elizabeth Weir on the science fiction television series Stargate Atlantis.
- 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: Piper Perabo Triple: [Looper, starring, Piper Perabo]
Generated description
Piper Perabo is an American actress known for her roles in films like "Coyote Ugly" and the TV series "Covert Affairs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piper Perabo Target entity description: Piper Perabo is an American actress known for her roles in films like "Coyote Ugly" and the TV series "Covert Affairs."
-
A.
Laura Prepon
Laura Prepon is an American actress best known for her roles on the television series That '70s Show and Orange Is the New Black.
-
B.
Lacey Chabert
Lacey Chabert is an American actress and voice actress best known for her roles in the film "Mean Girls," numerous Hallmark Channel movies, and early voice work in animated series.
-
C.
Pia Ricci
Pia Ricci is a sibling of American actress Christina Ricci, known primarily for her family connection to the film star.
-
D.
Holly Rae Taylor
Holly Rae Taylor is an American visual artist and the longtime partner of cartoonist and author Alison Bechdel.
-
E.
Torri Higginson
Torri Higginson is a Canadian actress best known for her role as Dr. Elizabeth Weir on the science fiction television series Stargate Atlantis.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde0311d88190a3cd04c7e00253e2 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acdfabfd3c8190960d8621b49284a8 |
completed | March 8, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace0ea9d1c8190a73ed43b0a7bbd2f |
completed | March 8, 2026, 2:37 a.m. |
Created at: March 1, 2026, 7:43 p.m.