Triple
T9198256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sid Ramin |
E220769
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sid Ramin |
E220769
|
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: Sid Ramin | Statement: [Sid Ramin, name, Sid Ramin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sid Ramin Context triple: [Sid Ramin, name, Sid Ramin]
-
A.
Sid Ramin
chosen
Sid Ramin was an American composer and orchestrator best known for his influential work on Broadway and film musicals, including the landmark score of "West Side Story."
-
B.
Michael Sembello
Michael Sembello is an American singer, songwriter, and musician best known for his 1983 hit single "Maniac" from the film Flashdance.
-
C.
Jim Jonsin
Jim Jonsin is a Grammy-winning American record producer and songwriter known for crafting hit tracks across hip hop, pop, and R&B for artists such as Beyoncé, Lil Wayne, and T.I.
-
D.
Stephen Wurm
Stephen Wurm was an influential linguist and philologist known for his pioneering work on Papuan and Australian languages, particularly in classifying and documenting the languages of New Guinea.
-
E.
Daryl Sabara
Daryl Sabara is an American actor best known for playing Juni Cortez in the Spy Kids film series.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd880ab808190aa785a5f1e5d5976 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c40267c8190926f4d5c912d0f45 |
completed | April 4, 2026, 12:33 a.m. |
Created at: March 30, 2026, 7:25 p.m.