Triple
T14653384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghoulies |
E344047
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Rebecca
Rebecca is a character from the horror-comedy film series "Ghoulies," appearing as part of its cast of protagonists and victims entangled with demonic creatures.
|
E1111997
|
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: Rebecca | Statement: [Ghoulies, character, Rebecca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Context triple: [Ghoulies, character, Rebecca]
-
A.
Rebecca
Rebecca is a feminine given name of Hebrew origin meaning “to tie” or “to bind,” widely used in English-speaking countries.
-
B.
Rebecca
Rebecca is a courageous and compassionate Jewish healer in Sir Walter Scott's novel "Ivanhoe," renowned for her integrity and tragic, unrequited love.
-
C.
Rebecca
Rebecca is a prominent biblical matriarch, known as the wife of Isaac and the mother of Esau and Jacob in the Hebrew Bible.
-
D.
Rebecca
Rebecca is a fictional character appearing in the British television drama series "Ashes to Ashes."
-
E.
Rebecca
Rebecca is a character from the horror film "The Descent," one of the women who join a dangerous caving expedition that turns terrifying underground.
- 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: Rebecca Triple: [Ghoulies, character, Rebecca]
Generated description
Rebecca is a character from the horror-comedy film series "Ghoulies," appearing as part of its cast of protagonists and victims entangled with demonic creatures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rebecca Target entity description: Rebecca is a character from the horror-comedy film series "Ghoulies," appearing as part of its cast of protagonists and victims entangled with demonic creatures.
-
A.
Rebecca
Rebecca is a character from the horror film "The Descent," one of the women who join a dangerous caving expedition that turns terrifying underground.
-
B.
Rebecca
Rebecca is a fictional character appearing in the British television drama series "Ashes to Ashes."
-
C.
Rebecca
"Rebecca" is a classic 1940 psychological thriller film directed by Alfred Hitchcock, adapted from Daphne du Maurier’s novel, renowned for its haunting atmosphere and performances by Laurence Olivier, Joan Fontaine, and Gladys Cooper.
-
D.
Rebecca
Rebecca is a prominent biblical matriarch, known as the wife of Isaac and the mother of Esau and Jacob in the Hebrew Bible.
-
E.
Rebecca
Rebecca is a courageous and compassionate Jewish healer in Sir Walter Scott's novel "Ivanhoe," renowned for her integrity and tragic, unrequited love.
- 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_69fdd5db85648190b0e5b1c0827fa9f4 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd6ed699c8190919677dcdf2d24d9 |
completed | May 8, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd79198108190a3e640eca97b082b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:27 a.m.