Triple
T16144504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humphrey Cripps |
E391743
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Humphrey |
E246706
|
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: Humphrey | Statement: [Humphrey Cripps, givenName, Humphrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humphrey Context triple: [Humphrey Cripps, givenName, Humphrey]
-
A.
Humphrey
chosen
Humphrey is a masculine given name of Old German origin, traditionally associated with nobility and strength.
-
B.
Ralph Willard
Ralph Willard is an American college basketball coach best known for successful head coaching stints at programs such as Western Kentucky, Pittsburgh, and Holy Cross.
-
C.
Alan Johnson
Alan Johnson is a British Labour politician who served as Home Secretary and held several other senior cabinet positions under Prime Ministers Tony Blair and Gordon Brown.
-
D.
Alan Johnson
Alan Johnson is the protagonist of the novel "This Boy," around whom the story’s central events and character development revolve.
-
E.
Joseph Swing
Joseph Swing was a U.S. Army general and later Commissioner of the Immigration and Naturalization Service, best known for directing large-scale immigration enforcement efforts in the 1950s.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d92b0408190a010bd8e5193aa36 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b9322c8190a773681679f9ad79 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.