Triple
T14921459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alec Sulkin |
E371519
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sulkin |
E371519
|
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: Sulkin | Statement: [Alec Sulkin, familyName, Sulkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulkin Context triple: [Alec Sulkin, familyName, Sulkin]
-
A.
Sulkin
chosen
Sulkin is the surname of Alec Sulkin, an American television writer and producer best known for his work on the animated series "Family Guy."
-
B.
Sullavan
Sullavan is the surname of American stage and film actress Margaret Sullavan, known for her work in classic Hollywood cinema of the 1930s and 1940s.
-
C.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
D.
Sulop
Sulop is a municipality in the province of Davao del Sur in the Philippines, known for its predominantly agricultural economy and rural communities.
-
E.
Selänne
Selänne is the surname of Teemu Selänne, a legendary Finnish ice hockey player and one of the NHL’s most prolific goal scorers.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded63121e48190b54eb2546acc3c93 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c141088190936f2fd53fee80e4 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:34 a.m.