Triple
T13861608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Newsreader |
E333208
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Andrew
Andrew is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s broadcast news staff.
|
E1066759
|
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: Andrew | Statement: [The Newsreader, hasMainCharacter, Andrew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Context triple: [The Newsreader, hasMainCharacter, Andrew]
-
A.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
-
B.
Andrew
Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
-
C.
Alan
Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
-
D.
Alan
The Alans were an ancient nomadic Iranian-speaking people of the Eurasian steppes, known for their skilled horsemanship and significant role in the migrations that shaped late antiquity Europe.
-
E.
Alex
Alex is a common given name, typically used as a shortened form of Alexander or Alexandra.
- 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: Andrew Triple: [The Newsreader, hasMainCharacter, Andrew]
Generated description
Andrew is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s broadcast news staff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Target entity description: Andrew is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s broadcast news staff.
-
A.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
-
B.
Andrew
Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
-
C.
John
John is the middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
-
D.
John
John is the given name of John M. Grunsfeld, an American physicist, former NASA astronaut, and leader in space science and exploration.
-
E.
John
John is the given name of John C. Sheehan, an American organic chemist renowned for achieving the first complete laboratory synthesis of penicillin.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ff1f78819088ae58f703e2c9ff |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c33437e8819085b6f79402500ba3 |
completed | May 3, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3cd3cf0819099cc6cbd04c62e83 |
completed | May 3, 2026, 9:53 p.m. |
Created at: April 9, 2026, 10:14 p.m.