Triple
T3589199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndon |
E75983
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Lyndon Terracini
Lyndon Terracini is an Australian opera singer and arts administrator best known for serving as the artistic director of Opera Australia.
|
E420247
|
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: Lyndon Terracini | Statement: [Lyndon, hasNotableBearer, Lyndon Terracini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyndon Terracini Context triple: [Lyndon, hasNotableBearer, Lyndon Terracini]
-
A.
Lyndon Henry
Lyndon Henry is a notable individual distinguished enough to be recognized as a prominent bearer of the given name Lyndon.
-
B.
Lyndon Hannibal
Lyndon Hannibal is a Sri Lankan politician and public figure known for his involvement in national governance.
-
C.
Lyndon Megarrity
Lyndon Megarrity is an Australian historian and author known for his work on Queensland and North Australian political and social history.
-
D.
Lyndon Stromberg
Lyndon Stromberg is an American sculptor and entrepreneur known for creating large-scale architectural sculptures and themed environments for casinos, resorts, and public spaces.
-
E.
Lyndon Hardy
Lyndon Hardy is an American physicist and science fiction author best known for his "Magic by the Numbers" fantasy series.
- 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: Lyndon Terracini Triple: [Lyndon, hasNotableBearer, Lyndon Terracini]
Generated description
Lyndon Terracini is an Australian opera singer and arts administrator best known for serving as the artistic director of Opera Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyndon Terracini Target entity description: Lyndon Terracini is an Australian opera singer and arts administrator best known for serving as the artistic director of Opera Australia.
-
A.
Lyndon Henry
Lyndon Henry is a notable individual distinguished enough to be recognized as a prominent bearer of the given name Lyndon.
-
B.
Lyndon Hannibal
Lyndon Hannibal is a Sri Lankan politician and public figure known for his involvement in national governance.
-
C.
Lyndon Megarrity
Lyndon Megarrity is an Australian historian and author known for his work on Queensland and North Australian political and social history.
-
D.
Lyndon Stromberg
Lyndon Stromberg is an American sculptor and entrepreneur known for creating large-scale architectural sculptures and themed environments for casinos, resorts, and public spaces.
-
E.
Lyndon Hardy
Lyndon Hardy is an American physicist and science fiction author best known for his "Magic by the Numbers" fantasy series.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13b2970819084181425b01f9595 |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589b716648190aeaead138203cbf9 |
completed | March 14, 2026, 4:15 p.m. |
| NEDg | Description generation | batch_69b58a9497b88190a46afd8b1996fed9 |
completed | March 14, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b26e4208190b4ec30a3b635194b |
completed | March 14, 2026, 4:21 p.m. |
Created at: March 8, 2026, 3:22 p.m.