Triple
T16993690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robots |
E412259
|
entity |
| Predicate | writtenBy |
P806
|
FINISHED |
| Object | Lowell Ganz |
E185973
|
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: Lowell Ganz | Statement: [Robots, writtenBy, Lowell Ganz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lowell Ganz Context triple: [Robots, writtenBy, Lowell Ganz]
-
A.
Lowell Ganz
chosen
Lowell Ganz is an American screenwriter and producer known for co-writing numerous popular Hollywood comedies, often in collaboration with Babaloo Mandel.
-
B.
Murray Panitz
Murray Panitz was a prominent American flutist and longtime principal flute of the Philadelphia Orchestra, known for his influential performances and teaching.
-
C.
William Rosenberg
William Rosenberg was an American entrepreneur best known for creating the coffee and doughnut chain that became Dunkin' Donuts.
-
D.
Gordon Edelstein
Gordon Edelstein is an American theatre director known for his long tenure leading and shaping the artistic vision of major regional stages, particularly in New Haven.
-
E.
Jerry Bresler
Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d28535788190bdfcb6201a9024b5 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc16fbdc819095411a056b9942c3 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.