Triple
T10674816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Place to Stand |
E251587
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Delores Claman |
E391253
|
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: Delores Claman | Statement: [A Place to Stand, musicBy, Delores Claman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delores Claman Context triple: [A Place to Stand, musicBy, Delores Claman]
-
A.
Dolores Claman
chosen
Dolores Claman was a Canadian composer best known for writing the iconic theme music widely regarded as Canada’s unofficial second national anthem.
-
B.
Maxine Feibelman
Maxine Feibelman is an American woman best known as the former wife and muse of lyricist Bernie Taupin, inspiring several classic Elton John songs.
-
C.
Lillian Lehman
Lillian Lehman is an American actress known for her extensive work in television dramas and soap operas, including roles on shows like "Hill Street Blues" and "Sunset Beach."
-
D.
Mary Joan Schutz
Mary Joan Schutz is best known as the former wife of American actor and comedian Gene Wilder.
-
E.
Carmen Bernstein
Carmen Bernstein is a sharp-tongued, no-nonsense theater producer and comic character in the musical whodunit "Curtains."
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb935ca88190b1312d3d53902af5 |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98876222c8190be638bdfa3ce4ceb |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:09 p.m.