Triple
T14752364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl |
E346640
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
HBO Films
HBO Films is the feature film production division of the premium cable network HBO, known for producing high-quality made-for-television movies and limited series.
|
E1085183
|
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: HBO Films | Statement: [The Girl, productionCompany, HBO Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HBO Films Context triple: [The Girl, productionCompany, HBO Films]
-
A.
HBO Pictures
HBO Pictures was the original feature film production arm of the HBO cable network, known for producing made-for-television movies and miniseries.
-
B.
ThinkFilm
ThinkFilm was an independent film distribution company known for releasing arthouse and specialty films in the early 2000s.
-
C.
Hartswood Films
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
-
D.
Tapestry Films
Tapestry Films is an American film production company best known for producing popular teen and romantic comedies in the late 1990s and early 2000s.
-
E.
Moonlight Pictures
Moonlight Pictures is a film production company known for producing the biographical drama "The White Crow."
- 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: HBO Films Triple: [The Girl, productionCompany, HBO Films]
Generated description
HBO Films is the feature film production division of the premium cable network HBO, known for producing high-quality made-for-television movies and limited series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HBO Films Target entity description: HBO Films is the feature film production division of the premium cable network HBO, known for producing high-quality made-for-television movies and limited series.
-
A.
HBO Pictures
chosen
HBO Pictures was the original feature film production arm of the HBO cable network, known for producing made-for-television movies and miniseries.
-
B.
ThinkFilm
ThinkFilm was an independent film distribution company known for releasing arthouse and specialty films in the early 2000s.
-
C.
Hartswood Films
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
-
D.
Tapestry Films
Tapestry Films is an American film production company best known for producing popular teen and romantic comedies in the late 1990s and early 2000s.
-
E.
Moonlight Pictures
Moonlight Pictures is a film production company known for producing the biographical drama "The White Crow."
- F. None of above.
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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9c725881908004368772fa528d |
completed | May 8, 2026, 3:05 p.m. |
| NEDg | Description generation | batch_69fdfde8ed30819083600cdac241675e |
completed | May 8, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfe969a6081908f4ebec0f6538811 |
completed | May 8, 2026, 3:17 p.m. |
Created at: April 10, 2026, 1:30 a.m.