Triple
T14715574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Wilberforce |
E345670
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Henry
Henry is a common masculine given name of Germanic origin, traditionally meaning "ruler of the household."
|
E254557
|
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: Henry | Statement: [Henry Wilberforce, givenName, Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Context triple: [Henry Wilberforce, givenName, Henry]
-
A.
John
John R. Klauder is an American theoretical physicist known for his contributions to quantum field theory, coherent states, and functional analysis.
-
B.
John
John is the given name of John Neely Bryan, the 19th-century American trader and lawyer who founded the city of Dallas, Texas.
-
C.
John
John "Jack" Twyman was an American Hall of Fame professional basketball player best known for his scoring prowess with the Cincinnati Royals and his advocacy for teammate Maurice Stokes.
-
D.
John
John is the given name of John Campbell, 9th Duke of Argyll, a prominent 19th-century Scottish peer and Liberal politician.
-
E.
John
John is the given name of American actor and voice artist John Ratzenberger, best known for playing Cliff Clavin on Cheers and voicing characters in Pixar films.
- 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: Henry Triple: [Henry Wilberforce, givenName, Henry]
Generated description
Henry is a common masculine given name of Germanic origin, traditionally meaning "ruler of the household."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henry Target entity description: Henry is a common masculine given name of Germanic origin, traditionally meaning "ruler of the household."
-
A.
Henry
chosen
Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
-
B.
Henry
Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
-
C.
Henry
Henry is the given name of Henry Highland Garnet, a prominent 19th-century African American abolitionist, minister, and orator.
-
D.
Henry
Henry is the given name of Henry Nottidge Moseley, a 19th-century English naturalist and professor known for his work in zoology and participation in the Challenger expedition.
-
E.
Henry
Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
- F. None of above.
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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8221a4819098937018f24a0b44 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfd5c19b0819081efd1dc3ce0c9fb |
completed | May 8, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfded4ab48190b4151cd8f6078d57 |
completed | May 8, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:29 a.m.