Triple
T389869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucille Ball |
E8857
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ball
Ball is a common English surname borne by numerous individuals, including the famed American comedian and actress Lucille Ball.
|
E49180
|
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: Ball | Statement: [Lucille Ball, familyName, Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ball Context triple: [Lucille Ball, familyName, Ball]
-
A.
The Ball
The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
-
B.
Q-balls
Q-balls are hypothetical, stable, non-topological solitons predicted in certain quantum field theories, often considered as exotic candidates for dark matter or new physics beyond the Standard Model.
-
C.
Bronze Ball
The Bronze Ball is the FIFA Club World Cup’s third-place individual award given to one of the tournament’s best-performing players.
-
D.
Ballomar
Ballomar was a 2nd-century chieftain of the Marcomanni who led major Germanic incursions into the Roman Empire during the Marcomannic Wars.
-
E.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
- 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: Ball Triple: [Lucille Ball, familyName, Ball]
Generated description
Ball is a common English surname borne by numerous individuals, including the famed American comedian and actress Lucille Ball.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ball Target entity description: Ball is a common English surname borne by numerous individuals, including the famed American comedian and actress Lucille Ball.
-
A.
The Ball
The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
-
B.
Q-balls
Q-balls are hypothetical, stable, non-topological solitons predicted in certain quantum field theories, often considered as exotic candidates for dark matter or new physics beyond the Standard Model.
-
C.
Bronze Ball
The Bronze Ball is the FIFA Club World Cup’s third-place individual award given to one of the tournament’s best-performing players.
-
D.
Ballomar
Ballomar was a 2nd-century chieftain of the Marcomanni who led major Germanic incursions into the Roman Empire during the Marcomannic Wars.
-
E.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5bdc848190826701590070497b |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4035310608190a1e0f807cb93e1e1 |
completed | March 1, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69a403a7c1488190a7773a5ae8a8cec7 |
completed | March 1, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40428b014819091c6534ba35a11ff |
completed | March 1, 2026, 9:17 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.