Triple
T4990518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Hunt |
E112117
|
entity |
| Predicate | isSpelledAs |
P457
|
FINISHED |
| Object |
M-i-k-e H-u-n-t
M-i-k-e H-u-n-t is a deliberately spaced-out spelling of the name "Mike Hunt," often used as a prank or joke name due to its suggestive sound when spoken aloud.
|
E485389
|
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: M-i-k-e H-u-n-t | Statement: [Mike Hunt, isSpelledAs, M-i-k-e H-u-n-t]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-i-k-e H-u-n-t Context triple: [Mike Hunt, isSpelledAs, M-i-k-e H-u-n-t]
-
A.
Micka
Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
-
B.
Mick
Mick is the commonly used nickname of American politician and former White House Chief of Staff Mick Mulvaney.
-
C.
Hunter Hunt
Hunter Hunt is a personal name that may refer to multiple individuals, rather than a single widely recognized public figure.
-
D.
Mika Miko
Mika Miko was a Los Angeles-based punk band known for its frenetic live shows and raw, lo-fi sound that drew from hardcore and post-punk influences.
-
E.
Miki
Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
- 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: M-i-k-e H-u-n-t Triple: [Mike Hunt, isSpelledAs, M-i-k-e H-u-n-t]
Generated description
M-i-k-e H-u-n-t is a deliberately spaced-out spelling of the name "Mike Hunt," often used as a prank or joke name due to its suggestive sound when spoken aloud.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M-i-k-e H-u-n-t Target entity description: M-i-k-e H-u-n-t is a deliberately spaced-out spelling of the name "Mike Hunt," often used as a prank or joke name due to its suggestive sound when spoken aloud.
-
A.
Micka
Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
-
B.
Mick
Mick is the commonly used nickname of American politician and former White House Chief of Staff Mick Mulvaney.
-
C.
Hunter Hunt
Hunter Hunt is a personal name that may refer to multiple individuals, rather than a single widely recognized public figure.
-
D.
Mika Miko
Mika Miko was a Los Angeles-based punk band known for its frenetic live shows and raw, lo-fi sound that drew from hardcore and post-punk influences.
-
E.
Miki
Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd728141d48190a0713e6d33c50fb6 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a282dd08190a29b92e8e825a3bb |
completed | March 21, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69be8d747c40819098ac5d475d60ab46 |
completed | March 21, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8df7ab9c8190b1af6e32f0f33b30 |
completed | March 21, 2026, 12:24 p.m. |
Created at: March 20, 2026, 1:34 p.m.