Triple
T17231931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolly Haas |
E418260
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dolly Haas |
E418260
|
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: Dolly Haas | Statement: [Dolly Haas, name, Dolly Haas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolly Haas Context triple: [Dolly Haas, name, Dolly Haas]
-
A.
Dolly Haas
chosen
Dolly Haas was a German-born actress and singer known for her work in European cinema and later on Broadway and in American films.
-
B.
Christl Haas
Christl Haas was an Austrian alpine skier and Olympic gold medalist renowned for her dominance in downhill events during the 1960s.
-
C.
Tiffy Gerhardt
Tiffy Gerhardt is a central character in the television drama series "The Unit," known for her role as the outspoken and resilient wife of one of the elite soldiers.
-
D.
Mary Haas
Mary Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists in the Boasian tradition.
-
E.
Emma Körner
Emma Körner was a German painter from a prominent Dresden family, best known for her portraits and for being the sister of poet and patriot Theodor Körner.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df7da748190a3a1762a67eb871b |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016760873c8190bab70ad4ca0c6d8e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.