Triple
T3066551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shine |
E62116
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Pip Karmel
Pip Karmel is an Australian film editor and director best known for her acclaimed editing work on the film "Shine."
|
E322797
|
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: Pip Karmel | Statement: [Shine, editedBy, Pip Karmel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pip Karmel Context triple: [Shine, editedBy, Pip Karmel]
-
A.
Pip Williams
Pip Williams is a child of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
-
B.
Josie Lloyd
Josie Lloyd is an American actress known for her television work in the 1960s, including appearances on shows like "The Andy Griffith Show."
-
C.
Pip Torrens
Pip Torrens is a British actor known for his character roles in film and television, including appearances in series such as "Patrick Melrose," "The Crown," and "Preacher."
-
D.
Lucy Briers
Lucy Briers is an English actress known for her work in television, film, and theatre, including her role as Mary Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
E.
Thomas Sangster
Thomas Sangster is a British actor best known for his roles in "Love Actually," "The Maze Runner" series, and the TV series "The Queen's Gambit."
- 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: Pip Karmel Triple: [Shine, editedBy, Pip Karmel]
Generated description
Pip Karmel is an Australian film editor and director best known for her acclaimed editing work on the film "Shine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pip Karmel Target entity description: Pip Karmel is an Australian film editor and director best known for her acclaimed editing work on the film "Shine."
-
A.
Pip Williams
Pip Williams is a child of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
-
B.
Josie Lloyd
Josie Lloyd is an American actress known for her television work in the 1960s, including appearances on shows like "The Andy Griffith Show."
-
C.
Pip Torrens
Pip Torrens is a British actor known for his character roles in film and television, including appearances in series such as "Patrick Melrose," "The Crown," and "Preacher."
-
D.
Lucy Briers
Lucy Briers is an English actress known for her work in television, film, and theatre, including her role as Mary Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
E.
Thomas Sangster
Thomas Sangster is a British actor best known for his roles in "Love Actually," "The Maze Runner" series, and the TV series "The Queen's Gambit."
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fd87308190918e7b616f033faa |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef16cf2881908265dfe8a1e3424d |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1f028cd0881909b35bf1870aae534 |
completed | March 11, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f0a0f15481909f71c702ecc93924 |
completed | March 11, 2026, 10:45 p.m. |
Created at: March 8, 2026, 3:02 p.m.