Triple
T16543913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Access Hollywood |
E401889
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Access
Access is an American entertainment news television program that covers celebrity news, interviews, and Hollywood events.
|
E1219993
|
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: Access | Statement: [Access Hollywood, alsoKnownAs, Access]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Access Context triple: [Access Hollywood, alsoKnownAs, Access]
-
A.
Access
Access is Microsoft's desktop database management system that enables users to create, manage, and analyze relational databases through a graphical interface and integrated tools.
-
B.
ACCESS
ACCESS is a prominent Arab American community organization and social service agency based in Dearborn, Michigan.
-
C.
Aceso
Aceso is a minor Greek goddess associated with the process of healing and the curing of illness.
-
D.
Admission
"Admission" is a 2013 romantic comedy-drama film starring Tina Fey and Paul Rudd, centered on a Princeton University admissions officer whose life is upended when she encounters a prospective student who may be the son she secretly gave up for adoption.
-
E.
Access Express
Access Express is a limited express train service in Japan that provides direct, rapid connections between central Tokyo and Narita Airport.
- 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: Access Triple: [Access Hollywood, alsoKnownAs, Access]
Generated description
Access is an American entertainment news television program that covers celebrity news, interviews, and Hollywood events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Access Target entity description: Access is an American entertainment news television program that covers celebrity news, interviews, and Hollywood events.
-
A.
Access
Access is Microsoft's desktop database management system that enables users to create, manage, and analyze relational databases through a graphical interface and integrated tools.
-
B.
ACCESS
ACCESS is a prominent Arab American community organization and social service agency based in Dearborn, Michigan.
-
C.
Aceso
Aceso is a minor Greek goddess associated with the process of healing and the curing of illness.
-
D.
Admission
"Admission" is a 2013 romantic comedy-drama film starring Tina Fey and Paul Rudd, centered on a Princeton University admissions officer whose life is upended when she encounters a prospective student who may be the son she secretly gave up for adoption.
-
E.
Access Express
Access Express is a limited express train service in Japan that provides direct, rapid connections between central Tokyo and Narita Airport.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455fab34819086c77ff45b85f5db |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b3248c8190b63793bfc072aa4f |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a0069d3b1c4819093c99516843cace6 |
completed | May 10, 2026, 11:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a006a4febf0819090471a73e88fdaf2 |
completed | May 10, 2026, 11:21 a.m. |
Created at: April 10, 2026, 5:15 a.m.