Triple
T6391059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raoul (Panic Room) |
E143826
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object |
Junior (Panic Room)
Junior is one of the primary antagonists in the thriller film "Panic Room," involved in the home invasion that drives the movie’s central conflict.
|
E591229
|
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: Junior (Panic Room) | Statement: [Raoul (Panic Room), worksWith, Junior (Panic Room)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junior (Panic Room) Context triple: [Raoul (Panic Room), worksWith, Junior (Panic Room)]
-
A.
Margo
Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
-
B.
Margo
Margo was a Mexican-American actress and dancer known for her work in Hollywood films of the 1930s and 1940s and for her later stage and television appearances.
-
C.
Torey
Torey is a given name, typically used as a variant of names like Tore or Tory.
-
D.
Junebug
Junebug is a 2005 independent drama film best known for featuring Amy Adams in a critically acclaimed, breakout supporting role.
-
E.
Julie
Julie is a feminine given name of Latin origin, commonly used in many Western countries.
- 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: Junior (Panic Room) Triple: [Raoul (Panic Room), worksWith, Junior (Panic Room)]
Generated description
Junior is one of the primary antagonists in the thriller film "Panic Room," involved in the home invasion that drives the movie’s central conflict.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Junior (Panic Room) Target entity description: Junior is one of the primary antagonists in the thriller film "Panic Room," involved in the home invasion that drives the movie’s central conflict.
-
A.
Margo
Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
-
B.
Margo
Margo was a Mexican-American actress and dancer known for her work in Hollywood films of the 1930s and 1940s and for her later stage and television appearances.
-
C.
Torey
Torey is a given name, typically used as a variant of names like Tore or Tory.
-
D.
Junebug
Junebug is a 2005 independent drama film best known for featuring Amy Adams in a critically acclaimed, breakout supporting role.
-
E.
Julie
Julie is a feminine given name of Latin origin, commonly used in many Western countries.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0687c7fdc819099cbbb937dec215e |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6388b02888190989623c658469a5a |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c63c71ac188190ad7912d2e6a68af8 |
completed | March 27, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63cdf225c8190b26a23496d0acc1a |
completed | March 27, 2026, 8:16 a.m. |
Created at: March 22, 2026, 4:34 p.m.