Triple
T5624375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NWSL Defender of the Year |
E147683
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
Emily Menges
Emily Menges is an American professional soccer player known as a standout defender in the National Women's Soccer League.
|
E592812
|
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: Emily Menges | Statement: [NWSL Defender of the Year, notableWinner, Emily Menges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Menges Context triple: [NWSL Defender of the Year, notableWinner, Emily Menges]
-
A.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
B.
Julie Naschauer
Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
-
C.
Christine Nagel
Christine Nagel is a renowned Swiss perfumer celebrated for creating numerous successful designer and niche fragrances for major luxury brands.
-
D.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
-
E.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
- 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: Emily Menges Triple: [NWSL Defender of the Year, notableWinner, Emily Menges]
Generated description
Emily Menges is an American professional soccer player known as a standout defender in the National Women's Soccer League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Menges Target entity description: Emily Menges is an American professional soccer player known as a standout defender in the National Women's Soccer League.
-
A.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
B.
Julie Naschauer
Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
-
C.
Christine Nagel
Christine Nagel is a renowned Swiss perfumer celebrated for creating numerous successful designer and niche fragrances for major luxury brands.
-
D.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
-
E.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022165d8c8190b2a14f1cd0a45ecc |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64096580481909a253f26b9535d9f |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c641e5436881908bdc5fc92c6718cc |
completed | March 27, 2026, 8:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64244ada0819081c799d80e2f8619 |
completed | March 27, 2026, 8:39 a.m. |
Created at: March 22, 2026, 3:40 p.m.