Triple
T1566043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Named Me Malala |
E33435
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Laurie MacDonald
Laurie MacDonald is a prominent American film producer known for her work on major Hollywood features and impactful documentaries.
|
E278705
|
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: Laurie MacDonald | Statement: [He Named Me Malala, producer, Laurie MacDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie MacDonald Context triple: [He Named Me Malala, producer, Laurie MacDonald]
-
A.
Jeanie MacPherson
Jeanie MacPherson was an American screenwriter and actress best known for her long collaboration with director Cecil B. DeMille during the silent and early sound film eras.
-
B.
Mona McKinnon
Mona McKinnon was an American actress best known for her role in Ed Wood’s cult science-fiction film "Plan 9 from Outer Space."
-
C.
Rena Lalgie
Rena Lalgie is a British civil servant who became the first Black woman to serve as Governor of Bermuda.
-
D.
Annette Kirwan
Annette Kirwan was the wife of prominent Irish unionist politician and barrister Edward Carson.
-
E.
Alison Telfer
Alison Telfer is a British academic and editor best known as the longtime partner and former wife of Monty Python member Terry Jones.
- 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: Laurie MacDonald Triple: [He Named Me Malala, producer, Laurie MacDonald]
Generated description
Laurie MacDonald is a prominent American film producer known for her work on major Hollywood features and impactful documentaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurie MacDonald Target entity description: Laurie MacDonald is a prominent American film producer known for her work on major Hollywood features and impactful documentaries.
-
A.
Jeanie MacPherson
Jeanie MacPherson was an American screenwriter and actress best known for her long collaboration with director Cecil B. DeMille during the silent and early sound film eras.
-
B.
Mona McKinnon
Mona McKinnon was an American actress best known for her role in Ed Wood’s cult science-fiction film "Plan 9 from Outer Space."
-
C.
Rena Lalgie
Rena Lalgie is a British civil servant who became the first Black woman to serve as Governor of Bermuda.
-
D.
Annette Kirwan
Annette Kirwan was the wife of prominent Irish unionist politician and barrister Edward Carson.
-
E.
Alison Telfer
Alison Telfer is a British academic and editor best known as the longtime partner and former wife of Monty Python member Terry Jones.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb2308bec81909d1660934eff171b |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6529905081909bd9e7c51fc21f77 |
completed | March 10, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69af66195b2c81908f9af299fe4966d4 |
completed | March 10, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af66a5c9c08190808ad50b1c9e258f |
completed | March 10, 2026, 12:32 a.m. |
Created at: March 4, 2026, 7:27 p.m.