Triple
T3760890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Washington Post Company |
E82156
|
entity |
| Predicate | ownerOf |
P347
|
FINISHED |
| Object | Slate |
E156077
|
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: Slate | Statement: [The Washington Post Company, ownerOf, Slate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slate Context triple: [The Washington Post Company, ownerOf, Slate]
-
A.
Slate
chosen
Slate is an online magazine known for its commentary and analysis on politics, culture, and current events.
-
B.
Main Slate
Main Slate is the New York Film Festival’s central, curated program showcasing its most prominent and artistically significant feature films each year.
-
C.
Lavagna
Lavagna is a historic coastal town in the Liguria region of northwestern Italy, known for its medieval heritage and traditional slate production.
-
D.
Papel
Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
-
E.
Obsidian
Obsidian is a dark, nearly black color variant commonly used as a sleek, premium finish for electronic devices such as smartphones.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc553a08190ba361675901496ed |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5172abc81909cfa709ea866dc57 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.