Triple
T17654043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard-Gabel |
E429571
|
entity |
| Predicate | writtenForm |
P2203
|
FINISHED |
| Object | Howard-Gabel |
—
|
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: Howard-Gabel | Statement: [Howard-Gabel, writtenForm, Howard-Gabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard-Gabel Context triple: [Howard-Gabel, writtenForm, Howard-Gabel]
-
A.
Howard-Gabel
chosen
Howard-Gabel is a surname associated with individuals such as Theodore Norman Howard-Gabel.
-
B.
Gabler
Gabler is a surname most notably associated with Milt Gabler, an influential American record producer and songwriter in jazz and popular music.
-
C.
Guare
Guare is a surname most notably associated with American playwright John Guare, known for works such as "Six Degrees of Separation."
-
D.
Vanderhof
Vanderhof is the surname of the eccentric, free-spirited family at the center of the classic American play and film "You Can't Take It with You."
-
E.
Gabbs
Gabbs is a small, remote town in central Nevada known historically for its mining activities and desert surroundings.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3ed8b08190a00efdad9740bf6f |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.