Triple
T22108429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan Conway |
E546351
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Morgan |
—
|
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: Morgan | Statement: [Morgan Conway, givenName, Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Context triple: [Morgan Conway, givenName, Morgan]
-
A.
Morgan
Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
-
B.
Morgan
Morgan is a common English surname borne by numerous notable individuals across fields such as science, finance, and entertainment.
-
C.
Morgan
Morgan is the second-generation core design used in AMD's Duron processors, featuring improvements in performance and efficiency over the original Spitfire core.
-
D.
Morgan
chosen
Morgan is a given name used by the American documentary filmmaker Morgan Neville.
-
E.
Morgan
Morgan is the central protagonist of the novel "The Big House," around whom the story’s main events and character dynamics revolve.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291adc74819092c7753bb6f3768d |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.