Triple
T2544034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Pitts Douglass |
E57853
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pitts |
E57853
|
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: Pitts | Statement: [Helen Pitts Douglass, familyName, Pitts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pitts Context triple: [Helen Pitts Douglass, familyName, Pitts]
-
A.
Pitts
chosen
Pitts is the surname of Helen Pitts Douglass, an American suffragist and abolitionist best known as the second wife of Frederick Douglass.
-
B.
Sully Wing
Sully Wing is one of the main historic wings of the Louvre Museum in Paris, housing collections such as ancient Near Eastern antiquities and French paintings.
-
C.
Piper Saratoga
The Piper Saratoga is a high-performance, single-engine, six-seat light aircraft known for its use in general aviation and for being the model involved in the fatal crash of John F. Kennedy Jr.
-
D.
Lycoming T53
The Lycoming T53 is a turboshaft aircraft engine widely used in military helicopters, most notably powering early models of the UH-1 "Huey."
-
E.
Cessna 402
The Cessna 402 is a twin-engine light aircraft commonly used for regional commuter, air taxi, and cargo operations due to its reliability and ability to serve short-haul routes.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2c10ce88190b242ab3d41878fda |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d073d2c81908c769a99b0942089 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.