Triple
T4495147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Reid |
E100676
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Timothy Lee Reid |
E100676
|
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: Timothy Lee Reid | Statement: [Tim Reid, birthName, Timothy Lee Reid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothy Lee Reid Context triple: [Tim Reid, birthName, Timothy Lee Reid]
-
A.
Tim Reid
chosen
Tim Reid is an American actor and comedian best known for his roles on television series such as "WKRP in Cincinnati," "Simon & Simon," and "Frank's Place."
-
B.
Brian David Willis
Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
-
C.
Timothy Christian Riley
Timothy Christian Riley is an American drummer, keyboardist, and producer best known as a member of the R&B group Tony! Toni! Toné!.
-
D.
Timothy Rivers
Timothy Rivers is an individual notable enough to be specifically cited as a bearer of the surname Rivers.
-
E.
Scott Reed
Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bde14c819091d42839a46291d0 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f8190e88190aec651ac9fe9ef92 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1 p.m.