Triple
T371076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilly Ledbetter |
E8269
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ledbetter |
E8269
|
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: Ledbetter | Statement: [Lilly Ledbetter, familyName, Ledbetter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ledbetter Context triple: [Lilly Ledbetter, familyName, Ledbetter]
-
A.
Lilly Ledbetter
chosen
Lilly Ledbetter is an American former Goodyear employee and equal pay activist whose pay discrimination case led to the landmark Lilly Ledbetter Fair Pay Act of 2009.
-
B.
John Lewis
John Lewis was a prominent American civil rights leader and longtime U.S. congressman known for his nonviolent activism, including his leadership in the Selma to Montgomery marches.
-
C.
Edelman
Edelman is a surname most prominently associated with Julian Edelman, a former NFL wide receiver and Super Bowl MVP for the New England Patriots.
-
D.
Aldridge
Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
-
E.
Lamar
Lamar is a surname most notably associated with Mirabeau B. Lamar, the second president of the Republic of Texas.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebff472881909fad81d597425ea6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3ecad6eb48190ba7d4f756318e7cd |
completed | March 1, 2026, 7:37 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.