Triple
T13797213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pi |
E331547
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Pamela Hart
Pamela Hart is an actress best known for her role in the 1998 psychological thriller film "Pi."
|
E1306915
|
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: Pamela Hart | Statement: [Pi, starring, Pamela Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Hart Context triple: [Pi, starring, Pamela Hart]
-
A.
Pamela Brown
Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
-
B.
Pamela Reeves
Pamela Reeves was a respected American attorney and federal judge who served on the U.S. District Court for the Eastern District of Tennessee and was known for her trailblazing role as the court’s first female chief judge.
-
C.
Pamela Fry
Pamela Fry is known primarily as the daughter of British art critic and painter Roger Fry, a central figure in the Bloomsbury Group.
-
D.
Pamela Miles
Pamela Miles is a British actress best known for her work on stage and screen and for her long marriage to actor Tim Pigott-Smith.
-
E.
Pamela Jenkins
Pamela Jenkins is a fictional character from the Saw horror film franchise, appearing in the movie "Saw VI."
- 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: Pamela Hart Triple: [Pi, starring, Pamela Hart]
Generated description
Pamela Hart is an actress best known for her role in the 1998 psychological thriller film "Pi."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pamela Hart Target entity description: Pamela Hart is an actress best known for her role in the 1998 psychological thriller film "Pi."
-
A.
Pamela Brown
Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
-
B.
Pamela Reeves
Pamela Reeves was a respected American attorney and federal judge who served on the U.S. District Court for the Eastern District of Tennessee and was known for her trailblazing role as the court’s first female chief judge.
-
C.
Pamela Fry
Pamela Fry is known primarily as the daughter of British art critic and painter Roger Fry, a central figure in the Bloomsbury Group.
-
D.
Pamela Miles
Pamela Miles is a British actress best known for her work on stage and screen and for her long marriage to actor Tim Pigott-Smith.
-
E.
Pamela Jenkins
Pamela Jenkins is a fictional character from the Saw horror film franchise, appearing in the movie "Saw VI."
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1a1390819092d68ddc32e4479f |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037cfd596481909d0c361a11185194 |
completed | May 12, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037e7bbd1c8190a88f57cdf5bf30f5 |
completed | May 12, 2026, 7:24 p.m. |
Created at: April 9, 2026, 10:11 p.m.