Triple
T4161160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pod |
E91536
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Doe |
E234426
|
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: Doe | Statement: [Pod, hasPart, Doe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doe Context triple: [Pod, hasPart, Doe]
-
A.
Doe
chosen
Doe is the anonymous student respondent in the U.S. Supreme Court case Santa Fe Independent School District v. Doe, which challenged student-led prayer at public school football games.
-
B.
Catt
Catt is the surname of Carrie Chapman Catt, a prominent American suffragist and peace activist who played a leading role in the women’s suffrage movement.
-
C.
Dooley
Dooley is the nickname of American actor and musician Dooley Wilson, best known for playing Sam and performing "As Time Goes By" in the classic film Casablanca.
-
D.
Kissi
Kissi is a West African language spoken primarily by the Kissi people in parts of Guinea, Sierra Leone, and Liberia.
-
E.
Hound
Hound is a coastal civil parish in the Borough of Eastleigh in Hampshire, England, encompassing villages such as Netley and Butlocks Heath.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f42f2cc8190ae10ea12273c930a |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.