Triple
T11171439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Dane |
E264281
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | David Howard |
E909893
|
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: David Howard | Statement: [Alexander Dane, createdBy, David Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Howard Context triple: [Alexander Dane, createdBy, David Howard]
-
A.
David Howard
chosen
David Howard is a screenwriter best known for co-writing the science fiction comedy film "Galaxy Quest."
-
B.
Geoffrey Howard
Geoffrey Howard is a personal name shared by several notable individuals, including figures in British politics, law, and public service.
-
C.
Donald Howard
Donald Howard was a British politician best known for serving on the controversial Simon Commission that investigated constitutional reform in colonial India.
-
D.
Douglas Howard
Douglas Howard was an English noblewoman of the 16th century, notable as the daughter of William Howard, 1st Baron Howard of Effingham, and for her connections to the Tudor court.
-
E.
Ken Howard
Ken Howard was an American actor best known for his roles in film, television, and theater, including his portrayal of Thomas Jefferson in the musical film "1776."
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4aced563c8190a56ab5ff0618d21f |
completed | April 19, 2026, 10:22 a.m. |
Created at: April 8, 2026, 9:29 p.m.