Triple
T2129787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Summer |
E46509
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Christine Lee
Christine Lee is an actress best known for her role in the Netflix zombie apocalypse series "Black Summer."
|
E241920
|
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: Christine Lee | Statement: [Black Summer, castMember, Christine Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christine Lee Context triple: [Black Summer, castMember, Christine Lee]
-
A.
Bridget Lee
Bridget Lee is best known as the wife of American film director, screenwriter, and producer Samuel Fuller.
-
B.
Connie Chung
Connie Chung is an American broadcast journalist and television news anchor known for her work on major U.S. networks and high-profile interviews.
-
C.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
-
D.
Melissa Chiu
Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
-
E.
Eileen Loo
Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
- 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: Christine Lee Triple: [Black Summer, castMember, Christine Lee]
Generated description
Christine Lee is an actress best known for her role in the Netflix zombie apocalypse series "Black Summer."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christine Lee Target entity description: Christine Lee is an actress best known for her role in the Netflix zombie apocalypse series "Black Summer."
-
A.
Bridget Lee
Bridget Lee is best known as the wife of American film director, screenwriter, and producer Samuel Fuller.
-
B.
Connie Chung
Connie Chung is an American broadcast journalist and television news anchor known for her work on major U.S. networks and high-profile interviews.
-
C.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
-
D.
Melissa Chiu
Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
-
E.
Eileen Loo
Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb77ccc4819087bee5dbb91b5ae8 |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d8e61d48190af0becdc5a040cd9 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e48eefc8190b459278860bb3217 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ec233788190a52dc1a135f7dfb9 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:44 p.m.