Triple
T16568443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael C. Short |
E402522
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Short |
E465069
|
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: Short | Statement: [Michael C. Short, familyName, Short]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Short Context triple: [Michael C. Short, familyName, Short]
-
A.
Short
chosen
Short is an English-language surname of Anglo-Saxon origin, historically given as a descriptive nickname for a person of small stature.
-
B.
Shorter
Shorter is a surname of English origin borne by various notable individuals across different fields.
-
C.
K-short
K-short is the short-lived neutral kaon, a subatomic meson that decays rapidly via the weak interaction and plays a key role in studies of CP violation.
-
D.
Not Long
"Not Long" is a hip-hop track by American rapper Ludacris from his album "Ludaversal."
-
E.
Short n’ Sweet
Short n’ Sweet is a pop album by American singer Sabrina Carpenter, showcasing her playful lyricism and polished, hook-heavy sound.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35773c00c819091731bebc02a69bb |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee3dcbc819087ea66b262585232 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.