Triple
T23184815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pollak Theatre |
E579560
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Pollak |
E474899
|
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: Pollak | Statement: [Pollak Theatre, namedAfter, Pollak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pollak Context triple: [Pollak Theatre, namedAfter, Pollak]
-
A.
Pollak
chosen
Pollak is a surname most notably associated with American actor and comedian Kevin Pollak.
-
B.
Poliakoff
Poliakoff is a surname most notably associated with British playwright and director Stephen Poliakoff.
-
C.
Pohl
Pohl is a German surname borne by various notable individuals in fields such as literature, science, and politics.
-
D.
Palicki
Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
-
E.
Polge
Polge is a French surname notably borne by perfumers such as Olivier Polge, the in-house nose for Chanel.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f7230208190820acf52f537b3ff |
completed | April 29, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30b3e07481908a4867997cbc5588 |
completed | May 19, 2026, 9:43 a.m. |
Created at: April 17, 2026, 4:05 p.m.