Triple
T15998318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Lanter |
E388031
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lanter
Lanter is a surname most notably associated with American actor and voice actor Matt Lanter.
|
E1188393
|
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: Lanter | Statement: [Matt Lanter, familyName, Lanter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanter Context triple: [Matt Lanter, familyName, Lanter]
-
A.
Lanterna
Lanterna is the iconic historic lighthouse of Genoa, Italy, and one of the oldest and tallest lighthouses still in operation in the world.
-
B.
Leanyer
Leanyer is a residential suburb in the northern part of Darwin, Northern Territory, known for its family-friendly amenities and proximity to major urban services.
-
C.
Lotan
Lotan is a multi-headed sea serpent or dragon from ancient Northwest Semitic mythology, often associated with chaos and defeated by the storm god.
-
D.
Lotan
Lotan is a biblical figure listed in Genesis as a descendant of Seir the Horite and a chief of the Horite clans in the region of Edom.
-
E.
Pteleon
Pteleon was a medieval coastal stronghold in Thessaly that formed part of the Catalan-ruled territories in Greece.
- 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: Lanter Triple: [Matt Lanter, familyName, Lanter]
Generated description
Lanter is a surname most notably associated with American actor and voice actor Matt Lanter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanter Target entity description: Lanter is a surname most notably associated with American actor and voice actor Matt Lanter.
-
A.
Lanterna
Lanterna is the iconic historic lighthouse of Genoa, Italy, and one of the oldest and tallest lighthouses still in operation in the world.
-
B.
Leanyer
Leanyer is a residential suburb in the northern part of Darwin, Northern Territory, known for its family-friendly amenities and proximity to major urban services.
-
C.
Lotan
Lotan is a multi-headed sea serpent or dragon from ancient Northwest Semitic mythology, often associated with chaos and defeated by the storm god.
-
D.
Lotan
Lotan is a biblical figure listed in Genesis as a descendant of Seir the Horite and a chief of the Horite clans in the region of Edom.
-
E.
Pteleon
Pteleon was a medieval coastal stronghold in Thessaly that formed part of the Catalan-ruled territories in Greece.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157893ebc8190acb75ee05e450fae |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d79dec8190b02e003f93e5dad6 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc50688ac8190b0911ce889254af3 |
completed | May 9, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5902904819097a2c5efbde55882 |
completed | May 9, 2026, 11:38 p.m. |
Created at: April 10, 2026, 4:55 a.m.