Triple
T12490053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel City FC |
E298538
|
entity |
| Predicate | ownershipGroupIncludes |
P16283
|
FINISHED |
| Object | Julie Uhrman |
E325475
|
NE FINISHED |
How this triple was built (2 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: Julie Uhrman | Statement: [Angel City FC, ownershipGroupIncludes, Julie Uhrman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Uhrman Context triple: [Angel City FC, ownershipGroupIncludes, Julie Uhrman]
-
A.
Julie Uhrman
chosen
Julie Uhrman is an American entrepreneur and sports executive best known as a co-founder and president of the National Women's Soccer League club Angel City FC.
-
B.
Julie Schumann
Julie Schumann was one of the daughters of the renowned Romantic composer Robert Schumann and his pianist wife Clara Schumann.
-
C.
Anna Kuhn
Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
-
D.
Julie von Voss
Julie von Voss was a Prussian noblewoman who became a morganatic wife of King Frederick William II of Prussia and held the title Countess Ingenheim.
-
E.
Julie Sussman
Julie Sussman is a computer scientist and author best known for coauthoring the influential textbook "Structure and Interpretation of Computer Programs" and contributing to the development of programming language education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de1db9481909ddf70eb81cdb714 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d4821c8190aa29db4b35262e8e |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:56 p.m.