Triple
T4470496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DDPG |
E98481
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | Timothy P. Lillicrap |
E442790
|
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 P. Lillicrap | Statement: [DDPG, introducedBy, Timothy P. Lillicrap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothy P. Lillicrap Context triple: [DDPG, introducedBy, Timothy P. Lillicrap]
-
A.
Timothy P. Lillicrap
chosen
Timothy P. Lillicrap is a Canadian-born neuroscientist and DeepMind researcher known for influential work in deep reinforcement learning and neural network optimization.
-
B.
Timothy J. Sexton
Timothy J. Sexton is an American screenwriter best known for co-writing the critically acclaimed dystopian film "Children of Men."
-
C.
Timothy M. Burgess
Timothy M. Burgess is a United States federal judge who serves on the bench of the District of Alaska.
-
D.
Timothy Williamson
Timothy Williamson is a prominent contemporary British philosopher known for his influential work in epistemology, metaphysics, and the philosophy of language.
-
E.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356b6a1f48190a39f5411648c40ff |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b672251b408190b3883a6895c154d7 |
completed | March 15, 2026, 8:47 a.m. |
Created at: March 12, 2026, 11:34 p.m.