Triple
T2561797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian |
E57255
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Seb |
E150295
|
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: Seb | Statement: [Sebastian, hasShortForm, Seb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seb Context triple: [Sebastian, hasShortForm, Seb]
-
A.
Noah Segan
Noah Segan is an American actor best known for his frequent collaborations with director Rian Johnson, including roles in films like "Looper" and "Knives Out."
-
B.
Emmet Brickowski
Emmet Brickowski is the optimistic everyman construction worker who becomes an unlikely hero and "Special" in the animated film *The Lego Movie*.
-
C.
Jono
Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
-
D.
Zander
Zander is a given name, often used as a variant or short form of Alexander, that can function as either a first name or surname.
-
E.
Sebastian Luke Maisani-Cooper
chosen
Sebastian Luke Maisani-Cooper is the son of American journalist and television anchor Anderson Cooper and his partner Benjamin Maisani.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd336183c819084ed7de8ccc4c548 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d264db481908e9dc3b5e2e8260a |
completed | March 9, 2026, 11:52 p.m. |
Created at: March 6, 2026, 9:48 p.m.