Triple
T12683684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue-Tongue Films |
E303010
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Edwina Waddy
Edwina Waddy is a film industry professional associated with the Australian production company Blue-Tongue Films.
|
E1011646
|
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: Edwina Waddy | Statement: [Blue-Tongue Films, hasMember, Edwina Waddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edwina Waddy Context triple: [Blue-Tongue Films, hasMember, Edwina Waddy]
-
A.
Edwina Booth
Edwina Booth was the daughter of famed 19th-century American actor Edwin Booth and later became known for preserving and promoting her father's theatrical legacy.
-
B.
Edwina Booth
Edwina Booth was an American film actress best remembered for her roles in early 1930s adventure serials and jungle-themed movies.
-
C.
Wendy Ferguson
Wendy Ferguson is known as a child of the renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
-
D.
Fiona Caldwell
Fiona Caldwell is a television executive producer known for her work on the documentary travel series "Great American Railroad Journeys."
-
E.
Annette King
Annette King is a New Zealand politician who served as a senior Labour Party cabinet minister and later as High Commissioner to Australia.
- 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: Edwina Waddy Triple: [Blue-Tongue Films, hasMember, Edwina Waddy]
Generated description
Edwina Waddy is a film industry professional associated with the Australian production company Blue-Tongue Films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edwina Waddy Target entity description: Edwina Waddy is a film industry professional associated with the Australian production company Blue-Tongue Films.
-
A.
Edwina Booth
Edwina Booth was the daughter of famed 19th-century American actor Edwin Booth and later became known for preserving and promoting her father's theatrical legacy.
-
B.
Edwina Booth
Edwina Booth was an American film actress best remembered for her roles in early 1930s adventure serials and jungle-themed movies.
-
C.
Wendy Ferguson
Wendy Ferguson is known as a child of the renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
-
D.
Fiona Caldwell
Fiona Caldwell is a television executive producer known for her work on the documentary travel series "Great American Railroad Journeys."
-
E.
Annette King
Annette King is a New Zealand politician who served as a senior Labour Party cabinet minister and later as High Commissioner to Australia.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af47b3d48190923e731c3733428a |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0653ef88190ad0e3a48675ecdcc |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1a539148190be7a4f16f738ca90 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:21 p.m.