Triple
T20441036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Alvarez |
E501389
|
entity |
| Predicate | appearsOnPlatform |
P1292
|
FINISHED |
| Object | HBO |
—
|
NE NERFINISHED |
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 | Statement: [Miguel Alvarez, appearsOnPlatform, HBO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HBO Context triple: [Miguel Alvarez, appearsOnPlatform, HBO]
-
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.
HBO
HBO is the Dutch sector of universities of applied sciences that focuses on professionally oriented higher education and practical training.
-
C.
HBO Family
HBO Family is a premium, commercial-free television channel from HBO that focuses on family-friendly movies and programming suitable for children and parents.
-
D.
Cinemax
Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f2e8888190a2e0d6b2bf6c905d |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.