Triple
T14653387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghoulies |
E344047
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Lisa Pelikan
Lisa Pelikan is an American actress known for her work in film, television, and theater, including prominent roles in several 1970s and 1980s genre and drama productions.
|
E1117041
|
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 Pelikan | Statement: [Ghoulies, starredActor, Lisa Pelikan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Pelikan Context triple: [Ghoulies, starredActor, Lisa Pelikan]
-
A.
Marta Linden
Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
-
B.
Lisa Pinsker
Lisa Pinsker is an individual notable enough to be recognized as a prominent bearer of the surname Pinsker.
-
C.
Lisa Blum
Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
-
D.
Lisa Mordente
Lisa Mordente is an American actress, singer, dancer, and choreographer known for her work on Broadway and in film and television.
-
E.
Diana Pokorny
Diana Pokorny is a film producer best known for her work on the fantasy adventure movie "Inkheart."
- 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 Pelikan Triple: [Ghoulies, starredActor, Lisa Pelikan]
Generated description
Lisa Pelikan is an American actress known for her work in film, television, and theater, including prominent roles in several 1970s and 1980s genre and drama productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Pelikan Target entity description: Lisa Pelikan is an American actress known for her work in film, television, and theater, including prominent roles in several 1970s and 1980s genre and drama productions.
-
A.
Marta Linden
Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
-
B.
Lisa Pinsker
Lisa Pinsker is an individual notable enough to be recognized as a prominent bearer of the surname Pinsker.
-
C.
Lisa Blum
Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
-
D.
Lisa Mordente
Lisa Mordente is an American actress, singer, dancer, and choreographer known for her work on Broadway and in film and television.
-
E.
Diana Pokorny
Diana Pokorny is a film producer best known for her work on the fantasy adventure movie "Inkheart."
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb7ab30c8190af49268b6f93aeb1 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfd835c0081908acebf34f77645eb |
completed | May 8, 2026, 3:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfded4ab48190b4151cd8f6078d57 |
completed | May 8, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:27 a.m.