Triple
T13839437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damon Dash |
E332615
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Lucky Dash
Lucky Dash is one of the children of music and business mogul Damon Dash.
|
E1063820
|
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: Lucky Dash | Statement: [Damon Dash, hasChild, Lucky Dash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Dash Context triple: [Damon Dash, hasChild, Lucky Dash]
-
A.
Outrageous Fortune
Outrageous Fortune is a 1987 American comedy film starring Bette Midler and Shelley Long, known for its mix of buddy comedy and action as two rival actresses become entangled in a dangerous espionage plot.
-
B.
Lucky
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
-
C.
Lucky
Lucky is a bestselling novel by Jackie Collins that follows the glamorous, ruthless world of Lucky Santangelo in the high-stakes realms of power, sex, and crime.
-
D.
Lucky
Lucky is a recurring dog character in the animated children's series "Bluey," known as Bluey's sporty next-door neighbor and friend.
-
E.
Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
- 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: Lucky Dash Triple: [Damon Dash, hasChild, Lucky Dash]
Generated description
Lucky Dash is one of the children of music and business mogul Damon Dash.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucky Dash Target entity description: Lucky Dash is one of the children of music and business mogul Damon Dash.
-
A.
Outrageous Fortune
Outrageous Fortune is a 1987 American comedy film starring Bette Midler and Shelley Long, known for its mix of buddy comedy and action as two rival actresses become entangled in a dangerous espionage plot.
-
B.
Lucky
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
-
C.
Lucky
Lucky is a bestselling novel by Jackie Collins that follows the glamorous, ruthless world of Lucky Santangelo in the high-stakes realms of power, sex, and crime.
-
D.
Lucky
Lucky is a recurring dog character in the animated children's series "Bluey," known as Bluey's sporty next-door neighbor and friend.
-
E.
Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ac6b7c81908d44632d6d628339 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f630d081909439e1cdc5d60430 |
completed | May 3, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69f7bb3bb7288190b981a9439304124d |
completed | May 3, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbac5a148190990ac56759e527cd |
completed | May 3, 2026, 9:18 p.m. |
Created at: April 9, 2026, 10:13 p.m.