Triple
T23128668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do You Take This Man |
E577105
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Hutchi Hancock
Hutchi Hancock is an actor known for his role in the film "Do You Take This Man."
|
E1571174
|
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: Hutchi Hancock | Statement: [Do You Take This Man, starring, Hutchi Hancock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hutchi Hancock Context triple: [Do You Take This Man, starring, Hutchi Hancock]
-
A.
Albany Hancock
Albany Hancock was a 19th-century English naturalist and malacologist known for his influential studies of marine invertebrates, particularly nudibranchs.
-
B.
Desire Gorham
Desire Gorham was a colonial-era New England woman known primarily through genealogical records as the daughter of early Plymouth Colony settler Desire Howland.
-
C.
Ikaika Woolsey
Ikaika Woolsey is an American football quarterback best known for playing college football at the University of Hawaiʻi.
-
D.
Monroe Herington
Monroe Herington was an early settler and prominent local figure after whom the city of Herington, Kansas, was named.
-
E.
Prentis Hancock
Prentis Hancock is a British actor best known for his role as Paul Morrow in the 1970s science fiction television series "Space: 1999."
- 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: Hutchi Hancock Triple: [Do You Take This Man, starring, Hutchi Hancock]
Generated description
Hutchi Hancock is an actor known for his role in the film "Do You Take This Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hutchi Hancock Target entity description: Hutchi Hancock is an actor known for his role in the film "Do You Take This Man."
-
A.
Albany Hancock
Albany Hancock was a 19th-century English naturalist and malacologist known for his influential studies of marine invertebrates, particularly nudibranchs.
-
B.
Desire Gorham
Desire Gorham was a colonial-era New England woman known primarily through genealogical records as the daughter of early Plymouth Colony settler Desire Howland.
-
C.
Ikaika Woolsey
Ikaika Woolsey is an American football quarterback best known for playing college football at the University of Hawaiʻi.
-
D.
Monroe Herington
Monroe Herington was an early settler and prominent local figure after whom the city of Herington, Kansas, was named.
-
E.
Prentis Hancock
Prentis Hancock is a British actor best known for his role as Paul Morrow in the 1970s science fiction television series "Space: 1999."
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e857b40819081f9df03fff64d48 |
completed | April 29, 2026, 4:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f606048190943cc7d879ffcfa2 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271f3c24819093f04fc69ae90160 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27e86440819089fae3350b29d722 |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 4 p.m.