Triple
T22663611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Shaiman |
E559724
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shaiman |
E559724
|
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: Shaiman | Statement: [Marc Shaiman, familyName, Shaiman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaiman Context triple: [Marc Shaiman, familyName, Shaiman]
-
A.
Shaiman
chosen
Shaiman is a surname most notably associated with Marc Shaiman, the American composer and lyricist known for his work in film, television, and musical theatre.
-
B.
Sharman
Sharman is a surname most notably associated with Helen Sharman, the first British astronaut and the first Western European woman in space.
-
C.
Haiman
Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
-
D.
Chaman
Chaman is a Pakistani border town in Balochistan that serves as a major transit point for trade and travel between Pakistan and Afghanistan.
-
E.
Shenir
Shenir is an alternate name for the Sinyar language, a Nilo-Saharan language spoken by the Sinyar people of western Sudan and eastern Chad.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73e409048190b435921e455d7bbd |
completed | May 18, 2026, 8:17 p.m. |
Created at: April 17, 2026, 3:08 p.m.