Triple
T6279673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresa Rebeck |
E140748
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Seminar |
E583061
|
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: Seminar | Statement: [Theresa Rebeck, wrote, Seminar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seminar Context triple: [Theresa Rebeck, wrote, Seminar]
-
A.
Seminar
chosen
Seminar is a Broadway play by American playwright Theresa Rebeck that follows a group of aspiring writers in a high-stakes private workshop led by a caustic literary guru.
-
B.
Colloquia
Colloquia is a collection of lively Latin dialogues by Desiderius Erasmus that satirically explore religious, educational, and social issues of the early 16th century.
-
C.
Semin
Semin is a Russian surname most notably borne by former NHL winger Alexander Semin.
-
D.
DISC conference
The DISC conference is a leading international research conference focused on the theory and practice of distributed computing systems and algorithms.
-
E.
Keynote
Keynote is Apple's presentation software for macOS and iOS, known for its polished design tools, smooth animations, and tight integration with the Apple ecosystem.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e411332481908ffff37cad062cce |
completed | March 27, 2026, 1:57 a.m. |
Created at: March 22, 2026, 4:26 p.m.