Triple
T18234202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Burglar |
E436625
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Phoebe Mackay
Phoebe Mackay is an actress known for her role in the film "The Burglar."
|
E1314293
|
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: Phoebe Mackay | Statement: [The Burglar, castMember, Phoebe Mackay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phoebe Mackay Context triple: [The Burglar, castMember, Phoebe Mackay]
-
A.
Grace McCallum
Grace McCallum is an American artistic gymnast and Olympic medalist who has represented the United States in major international competitions.
-
B.
Kate McKay
Kate McKay is the ambitious, modern-day career woman and romantic lead portrayed by Meg Ryan in the time-travel romantic comedy film "Kate & Leopold."
-
C.
Sarah MacKenzie
Sarah MacKenzie is a tough, principled Marine Corps lawyer and one of the central protagonists in the military legal drama series JAG.
-
D.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
-
E.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
- 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: Phoebe Mackay Triple: [The Burglar, castMember, Phoebe Mackay]
Generated description
Phoebe Mackay is an actress known for her role in the film "The Burglar."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phoebe Mackay Target entity description: Phoebe Mackay is an actress known for her role in the film "The Burglar."
-
A.
Grace McCallum
Grace McCallum is an American artistic gymnast and Olympic medalist who has represented the United States in major international competitions.
-
B.
Kate McKay
Kate McKay is the ambitious, modern-day career woman and romantic lead portrayed by Meg Ryan in the time-travel romantic comedy film "Kate & Leopold."
-
C.
Sarah MacKenzie
Sarah MacKenzie is a tough, principled Marine Corps lawyer and one of the central protagonists in the military legal drama series JAG.
-
D.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
-
E.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b512a88190aa493b0793ab28b3 |
completed | April 19, 2026, 3:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac6b09a481908825c30db5574299 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad4d5bcc8190a5e065a5bb897400 |
completed | May 12, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03af1fb1e0819095c9e8cb5528ce30 |
completed | May 12, 2026, 10:52 p.m. |
Created at: April 10, 2026, 10:33 a.m.