Triple
T1282252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damian Lillard |
E27351
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Dame
Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
|
E152603
|
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: Dame | Statement: [Damian Lillard, nickname, Dame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dame Context triple: [Damian Lillard, nickname, Dame]
-
A.
The Queen
The Queen is a 2006 British drama film directed by Stephen Frears that portrays the British royal family's response to the death of Princess Diana, featuring a celebrated score by Alexandre Desplat.
-
B.
Her Majesty
Her Majesty is the formal royal style used to address or refer to a reigning queen such as Anne, Queen of Great Britain.
-
C.
His Majesty
His Majesty is the formal style of address used for a reigning male British monarch.
-
D.
The Duke
The Duke is a con artist who, along with his partner the King, joins Huck and Jim on their journey and provides much of the novel’s satirical commentary on fraud and pretension.
-
E.
Madam
"Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
- 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: Dame Triple: [Damian Lillard, nickname, Dame]
Generated description
Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dame Target entity description: Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
-
A.
The Queen
The Queen is a 2006 British drama film directed by Stephen Frears that portrays the British royal family's response to the death of Princess Diana, featuring a celebrated score by Alexandre Desplat.
-
B.
Her Majesty
Her Majesty is the formal royal style used to address or refer to a reigning queen such as Anne, Queen of Great Britain.
-
C.
His Majesty
His Majesty is the formal style of address used for a reigning male British monarch.
-
D.
The Duke
The Duke is a con artist who, along with his partner the King, joins Huck and Jim on their journey and provides much of the novel’s satirical commentary on fraud and pretension.
-
E.
Madam
"Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
- 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_69acbf221180819082fc982b043d1085 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acc246824c819084a4d73bcdd6c449 |
completed | March 8, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc2be6e1c8190b05437749bc15643 |
completed | March 8, 2026, 12:28 a.m. |
Created at: March 1, 2026, 7:50 p.m.