Triple
T4729276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Short |
E104963
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Short
Short is an English-language surname of Anglo-Saxon origin, historically given as a descriptive nickname for a person of small stature.
|
E465069
|
NE FINISHED |
How this triple was built (4 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: [Edward Short, familyName, Short]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Short Context triple: [Edward Short, familyName, Short]
-
A.
Shorter
Shorter is a surname of English origin borne by various notable individuals across different fields.
-
B.
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.
-
C.
Short 184
The Short 184 was a British World War I reconnaissance and torpedo-carrying seaplane widely used for naval operations and notable for conducting the first successful aerial torpedo attack.
-
D.
Short Round
Short Round is a resourceful young Chinese sidekick who accompanies Indiana Jones on his perilous adventures in the film "Indiana Jones and the Temple of Doom."
-
E.
Long
Long is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Short Triple: [Edward Short, familyName, Short]
Generated description
Short is an English-language surname of Anglo-Saxon origin, historically given as a descriptive nickname for a person of small stature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Short Target entity description: Short is an English-language surname of Anglo-Saxon origin, historically given as a descriptive nickname for a person of small stature.
-
A.
Shorter
Shorter is a surname of English origin borne by various notable individuals across different fields.
-
B.
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.
-
C.
Short 184
The Short 184 was a British World War I reconnaissance and torpedo-carrying seaplane widely used for naval operations and notable for conducting the first successful aerial torpedo attack.
-
D.
Short Round
Short Round is a resourceful young Chinese sidekick who accompanies Indiana Jones on his perilous adventures in the film "Indiana Jones and the Temple of Doom."
-
E.
Long
Long is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
- F. None of above. chosen
Provenance (5 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd646135c881909030c21a163cc619 |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a4bc0481908935278afb13503d |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be13d99f9881908dd19dd40ac87a6d |
completed | March 21, 2026, 3:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be143ea2108190941294255bc4679c |
completed | March 21, 2026, 3:45 a.m. |
Created at: March 20, 2026, 1:19 p.m.