Triple
T12458375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Splendor |
E297719
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | HBO Films |
E18702
|
NE FINISHED |
How this triple was built (2 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: [American Splendor, distributor, HBO Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HBO Films Context triple: [American Splendor, distributor, HBO Films]
-
A.
HBO
chosen
HBO is a premium American television and streaming network known for producing influential, high-quality original series, films, and documentaries such as "The Sopranos," "Game of Thrones," and "Succession."
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da46a588190bc888fafd6d1eb5d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1b0a3081909cf22970586755e9 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.