Triple
T10673633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward Hunt |
E251557
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ward |
E139352
|
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: Ward | Statement: [Ward Hunt, givenName, Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ward Context triple: [Ward Hunt, givenName, Ward]
-
A.
Ward
Ward is the surname of C.J. Ramone, the American musician and bassist best known for his work with the punk rock band the Ramones.
-
B.
Ward
chosen
Ward is the commonly used short form of the name Ward Cunningham, the American computer programmer best known for creating the first wiki and contributing to agile software development.
-
C.
Ward
Ward is a common English surname borne by numerous notable individuals across politics, science, arts, and sports.
-
D.
Wardell
Wardell is the given first name of American character actor Ward Bond, known for his prolific roles in classic Hollywood films and Westerns.
-
E.
North Ward
North Ward is a predominantly residential and historically Italian-American neighborhood in Newark, New Jersey, known for its parks, schools, and active community life.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb9299708190a0a3818f2e4e9bf5 |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9886e3f108190bb6f17d4e2f394ef |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:09 p.m.