Triple
T8004429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Kansas City |
E186328
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
Brad Likens
Brad Likens is an American sports executive best known as a co-owner of the former National Women's Soccer League club FC Kansas City.
|
E704330
|
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: Brad Likens | Statement: [FC Kansas City, owner, Brad Likens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Likens Context triple: [FC Kansas City, owner, Brad Likens]
-
A.
Chris Likens
Chris Likens is an American sports executive best known for owning the National Women's Soccer League club FC Kansas City.
-
B.
Jeffrey Lane
Jeffrey Lane is an American television writer and producer known for his work on various comedy and drama series.
-
C.
Justin Ripley
Justin Ripley is a loyal and principled young detective in the British crime drama series "Luther," serving as John Luther’s trusted partner and moral anchor.
-
D.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
E.
Jeremy Lasky
Jeremy Lasky is an American cinematographer best known for his work at Pixar Animation Studios on films such as Cars and other major animated features.
- 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: Brad Likens Triple: [FC Kansas City, owner, Brad Likens]
Generated description
Brad Likens is an American sports executive best known as a co-owner of the former National Women's Soccer League club FC Kansas City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brad Likens Target entity description: Brad Likens is an American sports executive best known as a co-owner of the former National Women's Soccer League club FC Kansas City.
-
A.
Chris Likens
chosen
Chris Likens is an American sports executive best known for owning the National Women's Soccer League club FC Kansas City.
-
B.
Jeffrey Lane
Jeffrey Lane is an American television writer and producer known for his work on various comedy and drama series.
-
C.
Justin Ripley
Justin Ripley is a loyal and principled young detective in the British crime drama series "Luther," serving as John Luther’s trusted partner and moral anchor.
-
D.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
E.
Jeremy Lasky
Jeremy Lasky is an American cinematographer best known for his work at Pixar Animation Studios on films such as Cars and other major animated features.
- F. None of above.
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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf5fb588190ada4ec7d8087619c |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5697ac9081909fe7ca06d0c3ef38 |
completed | March 31, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69cc58a8f3d08190bec84dc1ba3b5b84 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cb2963c81908a8dfbb1f84845bc |
completed | March 31, 2026, 11:45 p.m. |
Created at: March 30, 2026, 5:18 p.m.