Triple
T3586653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alec Sulkin |
E75925
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alec |
E267539
|
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: Alec | Statement: [Alec Sulkin, givenName, Alec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alec Context triple: [Alec Sulkin, givenName, Alec]
-
A.
Alec
chosen
Alec is the familiar nickname of Alec Douglas-Home, a British Conservative politician who served as Prime Minister of the United Kingdom from 1963 to 1964.
-
B.
Alec Ramsey
Alec Ramsey is the young boy protagonist of Walter Farley’s classic children’s novel series "The Black Stallion," known for his deep bond with a wild Arabian stallion.
-
C.
Alec Radford
Alec Radford is a machine learning researcher known for his influential work on generative models and large language models at OpenAI.
-
D.
Aidan
Aidan is a masculine given name of Irish origin that has become popular in many English-speaking countries.
-
E.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc137eb708190809cd52b6deb227c |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4030088548190adbb029be1caeb81 |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:22 p.m.