Triple
T2142077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candlestick Park |
E46779
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
The Stick
The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
|
E236654
|
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: The Stick | Statement: [Candlestick Park, alsoKnownAs, The Stick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Stick Context triple: [Candlestick Park, alsoKnownAs, The Stick]
-
A.
Stick It
Stick It is a 2006 teen sports comedy-drama film centered on competitive gymnastics and rebellious youth.
-
B.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
C.
Sticks & Stones
Sticks & Stones is a 2019 stand-up comedy special by Dave Chappelle known for its provocative, boundary-pushing material and controversial social commentary.
-
D.
Sugar on a Stick
Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
-
E.
Stiltsville
Stiltsville is a historic collection of wooden stilt houses built over the shallow waters of Biscayne Bay near Miami, Florida.
- 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: The Stick Triple: [Candlestick Park, alsoKnownAs, The Stick]
Generated description
The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Stick Target entity description: The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
-
A.
Stick It
Stick It is a 2006 teen sports comedy-drama film centered on competitive gymnastics and rebellious youth.
-
B.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
C.
Sticks & Stones
Sticks & Stones is a 2019 stand-up comedy special by Dave Chappelle known for its provocative, boundary-pushing material and controversial social commentary.
-
D.
Sugar on a Stick
Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
-
E.
Stiltsville
Stiltsville is a historic collection of wooden stilt houses built over the shallow waters of Biscayne Bay near Miami, Florida.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe0543108190862dd9a4a861c758 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51b63e4081908a5d87af5d17d3c4 |
completed | March 9, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_69ae52d29d708190809ee4d5047b2755 |
completed | March 9, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae532ec8808190b1ecd8c4f66df30d |
completed | March 9, 2026, 4:57 a.m. |
Created at: March 4, 2026, 7:44 p.m.