Triple
T20701240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where No Man Has Gone Before |
E508786
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Sulu
Sulu is a Starfleet officer and helmsman of the starship USS Enterprise in the Star Trek franchise, best known for his calm professionalism and skilled piloting.
|
E1446320
|
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: Sulu | Statement: [Where No Man Has Gone Before, featuresCharacter, Sulu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulu Context triple: [Where No Man Has Gone Before, featuresCharacter, Sulu]
-
A.
Sulu
Sulu is an island province in the southern Philippines known for its predominantly Muslim population, rich Tausug culture, and historical role as the center of the Sultanate of Sulu.
-
B.
Suluq
Suluq is a town in northeastern Libya historically known as the site where anti-colonial resistance leader Omar Mukhtar was executed by Italian authorities in 1931.
-
C.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
D.
Wangtu
Wangtu is a small settlement in the Kinnaur district of Himachal Pradesh, India, situated along the Sutlej River in the Himalayan region.
-
E.
Saoli
Saoli is a town in the Chandrapur district of Maharashtra, India, known locally as an administrative and commercial center for the surrounding rural area.
- 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: Sulu Triple: [Where No Man Has Gone Before, featuresCharacter, Sulu]
Generated description
Sulu is a Starfleet officer and helmsman of the starship USS Enterprise in the Star Trek franchise, best known for his calm professionalism and skilled piloting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sulu Target entity description: Sulu is a Starfleet officer and helmsman of the starship USS Enterprise in the Star Trek franchise, best known for his calm professionalism and skilled piloting.
-
A.
Sulu
Sulu is an island province in the southern Philippines known for its predominantly Muslim population, rich Tausug culture, and historical role as the center of the Sultanate of Sulu.
-
B.
Suluq
Suluq is a town in northeastern Libya historically known as the site where anti-colonial resistance leader Omar Mukhtar was executed by Italian authorities in 1931.
-
C.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
-
D.
Wangtu
Wangtu is a small settlement in the Kinnaur district of Himachal Pradesh, India, situated along the Sutlej River in the Himalayan region.
-
E.
Saoli
Saoli is a town in the Chandrapur district of Maharashtra, India, known locally as an administrative and commercial center for the surrounding rural area.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18bfac08190bf80beeb3ce1951a |
completed | April 21, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7ed81dc81908db30e5655b7a6aa |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08dc9aa1988190b5808af1efe80fe1 |
completed | May 16, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08dd44e64c81908bff61cb81b1fe9a |
completed | May 16, 2026, 9:10 p.m. |
Created at: April 16, 2026, 12:12 p.m.