Triple
T22673486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Christmas Tree (1996 film) |
E560282
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Fogwood Films
Fogwood Films is a film production company known for producing the 1996 holiday television movie "The Christmas Tree."
|
E1548754
|
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: Fogwood Films | Statement: [The Christmas Tree (1996 film), productionCompany, Fogwood Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fogwood Films Context triple: [The Christmas Tree (1996 film), productionCompany, Fogwood Films]
-
A.
Ferndale Films
Ferndale Films is an Irish film production company best known for producing acclaimed dramas such as the Oscar-winning "My Left Foot."
-
B.
Firefly Films
Firefly Films is a film production company known for producing the darkly comedic thriller "Come to Daddy."
-
C.
Forager Film Company
Forager Film Company is an independent film production company known for producing the 2014 holiday drama "Happy Christmas."
-
D.
Dogwood Films
Dogwood Films is a film production company known for working on projects such as Terrence Malick’s drama "Knight of Cups."
-
E.
Barwood Films
Barwood Films is a film production company co-founded by Barbra Streisand, known for producing several of her starring and directing projects.
- 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: Fogwood Films Triple: [The Christmas Tree (1996 film), productionCompany, Fogwood Films]
Generated description
Fogwood Films is a film production company known for producing the 1996 holiday television movie "The Christmas Tree."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fogwood Films Target entity description: Fogwood Films is a film production company known for producing the 1996 holiday television movie "The Christmas Tree."
-
A.
Ferndale Films
Ferndale Films is an Irish film production company best known for producing acclaimed dramas such as the Oscar-winning "My Left Foot."
-
B.
Firefly Films
Firefly Films is a film production company known for producing the darkly comedic thriller "Come to Daddy."
-
C.
Forager Film Company
Forager Film Company is an independent film production company known for producing the 2014 holiday drama "Happy Christmas."
-
D.
Dogwood Films
Dogwood Films is a film production company known for working on projects such as Terrence Malick’s drama "Knight of Cups."
-
E.
Barwood Films
Barwood Films is a film production company co-founded by Barbra Streisand, known for producing several of her starring and directing projects.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17821daf88190b18a73a222fc22fb |
completed | April 29, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73ed2d588190a9d9382c11fbb1a5 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7505c99081908a9faac30451e6e8 |
completed | May 18, 2026, 8:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b761510b48190a09722be3fca7e93 |
completed | May 18, 2026, 8:27 p.m. |
Created at: April 17, 2026, 3:10 p.m.