Triple
T17684716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. W. Lowry |
E440856
|
entity |
| Predicate | nameContainsInitial |
P39224
|
FINISHED |
| Object | H. |
—
|
NE NERFINISHED |
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: H. | Statement: [H. W. Lowry, nameContainsInitial, H.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H. Context triple: [H. W. Lowry, nameContainsInitial, H.]
-
A.
H.
chosen
H. is an individual whose given name is represented by the initial "H."
-
B.
H
H is the commonly used abbreviation for the Conservative Party of Norway, a major center-right political party in the country.
-
C.
H
H is a light rail service designation used for one of the lines in Denver’s Regional Transportation District (RTD) rail network.
-
D.
Ha
"Ha" is a track by rapper Juvenile, notable for its distinctive second-person narrative style and repetitive use of the word "ha," from his influential 1998 album *400 Degreez*.
-
E.
Hu
Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704710488190826aaf0bdd4b2088 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:02 a.m.