Triple
T1282250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damian Lillard |
E27351
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Damian
Damian is a masculine given name of Greek origin meaning "to tame" or "subdue," borne by various historical and contemporary figures.
|
E147913
|
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: Damian | Statement: [Damian Lillard, givenName, Damian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damian Context triple: [Damian Lillard, givenName, Damian]
-
A.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
B.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
C.
Adrian
Adrian was a renowned Hollywood costume designer best known for creating glamorous and influential fashions for classic MGM films of the 1930s and 1940s.
-
D.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
E.
Dominic
Dominic is a central character in the romantic comedy film "Think Like a Man," portrayed as an aspiring chef and one of the men whose love life is influenced by Steve Harvey’s relationship advice.
- 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: Damian Triple: [Damian Lillard, givenName, Damian]
Generated description
Damian is a masculine given name of Greek origin meaning "to tame" or "subdue," borne by various historical and contemporary figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damian Target entity description: Damian is a masculine given name of Greek origin meaning "to tame" or "subdue," borne by various historical and contemporary figures.
-
A.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
B.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
C.
Adrian
Adrian was a renowned Hollywood costume designer best known for creating glamorous and influential fashions for classic MGM films of the 1930s and 1940s.
-
D.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
E.
Dominic
Dominic is a central character in the romantic comedy film "Think Like a Man," portrayed as an aspiring chef and one of the men whose love life is influenced by Steve Harvey’s relationship advice.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b47be08190828a1c0a11d94ce8 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacba08f881909230c2d9459d4bc4 |
completed | March 7, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69acad2bc82c81909ec4c314e4fe7cc7 |
completed | March 7, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acae0dc4708190bc3a9918391e6739 |
completed | March 7, 2026, 11 p.m. |
Created at: March 1, 2026, 7:50 p.m.