Triple
T5303939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The F.B.I. |
E120049
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Quinn Martin |
E324782
|
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: Quinn Martin | Statement: [The F.B.I., developer, Quinn Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quinn Martin Context triple: [The F.B.I., developer, Quinn Martin]
-
A.
Quinn Martin
chosen
Quinn Martin was a prolific American television producer best known for creating and producing numerous hit crime and drama series during the 1960s and 1970s.
-
B.
Quinn
Quinn is a surname of Irish origin commonly borne by individuals such as American football coach Dan Quinn.
-
C.
Quinn Kelly Stone
Quinn Kelly Stone is one of the sons of American actress and producer Sharon Stone.
-
D.
Freddy Quinn
Freddy Quinn is an Austrian singer and actor, especially popular in the 1950s and 1960s for his German-language schlager and maritime-themed songs.
-
E.
Quinn Cummings
Quinn Cummings is an American former child actress, best known for her Oscar-nominated role in the 1977 film "The Goodbye Girl," who later became an author and entrepreneur.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd851b685c8190b7ed8c762a807395 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf2907e4cc8190a25f457c17c747ff |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 1:53 p.m.