Triple
T23404844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightning Bug (2004 film) |
E559606
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Lisa Waugh
Lisa Waugh is a film producer known for her work on the 2004 movie "Lightning Bug."
|
E1584186
|
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: Lisa Waugh | Statement: [Lightning Bug (2004 film), producer, Lisa Waugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Waugh Context triple: [Lightning Bug (2004 film), producer, Lisa Waugh]
-
A.
Davina Harrison
Davina Harrison is a central character portrayed by Lovie Simone in the television drama series "Greenleaf."
-
B.
Jennifer Winkley
Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
-
C.
Lisa Bromwell
Lisa Bromwell is a film and television editor known for her work on projects such as the movie "Please Stand By."
-
D.
Sarah Jennings
Sarah Jennings, later known as Sarah Churchill, Duchess of Marlborough, was a powerful English courtier and close confidante of Queen Anne who became one of the most influential women in early 18th-century British politics.
-
E.
Lisa Rolfe
Lisa Rolfe is the central protagonist of the 1984 comedy-drama film "Garbo Talks," around whom the story’s emotional and narrative developments revolve.
- 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: Lisa Waugh Triple: [Lightning Bug (2004 film), producer, Lisa Waugh]
Generated description
Lisa Waugh is a film producer known for her work on the 2004 movie "Lightning Bug."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Waugh Target entity description: Lisa Waugh is a film producer known for her work on the 2004 movie "Lightning Bug."
-
A.
Davina Harrison
Davina Harrison is a central character portrayed by Lovie Simone in the television drama series "Greenleaf."
-
B.
Jennifer Winkley
Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
-
C.
Lisa Bromwell
Lisa Bromwell is a film and television editor known for her work on projects such as the movie "Please Stand By."
-
D.
Sarah Jennings
Sarah Jennings, later known as Sarah Churchill, Duchess of Marlborough, was a powerful English courtier and close confidante of Queen Anne who became one of the most influential women in early 18th-century British politics.
-
E.
Lisa Rolfe
Lisa Rolfe is the central protagonist of the 1984 comedy-drama film "Garbo Talks," around whom the story’s emotional and narrative developments revolve.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e27db88190b37375b38073291c |
completed | April 29, 2026, 6:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5df67cac8190868ab0068248be07 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c5ff391208190a1e5e5d3604de8fb |
completed | May 19, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c609b4e108190a8abe634d326f62d |
completed | May 19, 2026, 1:07 p.m. |
Created at: April 17, 2026, 5:38 p.m.