Triple
T11121218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Pasadena, California |
E263018
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Eddie Park
Eddie Park is a small neighborhood park in South Pasadena, California, offering local residents green space and recreational amenities.
|
E906411
|
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: Eddie Park | Statement: [South Pasadena, California, hasPark, Eddie Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Park Context triple: [South Pasadena, California, hasPark, Eddie Park]
-
A.
Eddie Kim
Eddie Kim is the ruthless crime boss and primary antagonist in the action-thriller film "Snakes on a Plane," responsible for orchestrating the deadly snake attack aboard the aircraft.
-
B.
Keon Park
Keon Park is a suburban railway station in Melbourne, Australia, serving the local community on the metropolitan rail network.
-
C.
Philip Ahn
Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
-
D.
Yohan Lee
Yohan Lee is a fictional character from the work "The Encyclopedists."
-
E.
Bill Choi
Bill Choi is a television producer best known for serving as an executive producer on the political thriller series "Designated Survivor."
- 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: Eddie Park Triple: [South Pasadena, California, hasPark, Eddie Park]
Generated description
Eddie Park is a small neighborhood park in South Pasadena, California, offering local residents green space and recreational amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eddie Park Target entity description: Eddie Park is a small neighborhood park in South Pasadena, California, offering local residents green space and recreational amenities.
-
A.
Eddie Kim
Eddie Kim is the ruthless crime boss and primary antagonist in the action-thriller film "Snakes on a Plane," responsible for orchestrating the deadly snake attack aboard the aircraft.
-
B.
Keon Park
Keon Park is a suburban railway station in Melbourne, Australia, serving the local community on the metropolitan rail network.
-
C.
Philip Ahn
Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
-
D.
Yohan Lee
Yohan Lee is a fictional character from the work "The Encyclopedists."
-
E.
Bill Choi
Bill Choi is a television producer best known for serving as an executive producer on the political thriller series "Designated Survivor."
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af911b881908168f23a4918231c |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8406988190837a16d7ad8048d1 |
completed | April 19, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 8, 2026, 9:28 p.m.