Triple
T20392815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tellarites |
E498123
|
entity |
| Predicate | notableIndividual |
P20309
|
FINISHED |
| Object |
Gral
Gral is a prominent Tellarite figure from the Star Trek universe, known for his influential role in interstellar politics and diplomacy.
|
E1428401
|
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: Gral | Statement: [Tellarites, notableIndividual, Gral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gral Context triple: [Tellarites, notableIndividual, Gral]
-
A.
Orgeneral
Orgeneral is the highest four-star general rank in the Turkish Armed Forces, typically held by top-level commanders such as service chiefs.
-
B.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
-
C.
Grawp
Grawp is a giant and the half-brother of Rubeus Hagrid who appears in the Harry Potter series.
-
D.
Gro
Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
-
E.
Garde
Garde is the surname of American stage, film, and radio actress Betty Garde, known for her character roles in mid-20th-century entertainment.
- 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: Gral Triple: [Tellarites, notableIndividual, Gral]
Generated description
Gral is a prominent Tellarite figure from the Star Trek universe, known for his influential role in interstellar politics and diplomacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gral Target entity description: Gral is a prominent Tellarite figure from the Star Trek universe, known for his influential role in interstellar politics and diplomacy.
-
A.
Orgeneral
Orgeneral is the highest four-star general rank in the Turkish Armed Forces, typically held by top-level commanders such as service chiefs.
-
B.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
-
C.
Grawp
Grawp is a giant and the half-brother of Rubeus Hagrid who appears in the Harry Potter series.
-
D.
Gro
Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
-
E.
Garde
Garde is the surname of American stage, film, and radio actress Betty Garde, known for her character roles in mid-20th-century entertainment.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6791144788190a0ab42cf0141b6a3 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0876260e548190b0ca1cdee28fe72d |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0877d6b364819080b5e701acea02aa |
completed | May 16, 2026, 1:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08787cfe6c8190881554ead3cfd248 |
completed | May 16, 2026, 2 p.m. |
Created at: April 16, 2026, 11:28 a.m.