Triple
T16785987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forrest Taylor |
E407975
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Forrest |
E887330
|
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: Forrest | Statement: [Forrest Taylor, givenName, Forrest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forrest Context triple: [Forrest Taylor, givenName, Forrest]
-
A.
Forrest
Forrest is the given first name of American guitarist and songwriter Dickey Betts, a founding member of the Allman Brothers Band.
-
B.
Forrest
Forrest is an Australian federal electoral division in Western Australia, known for encompassing rural and coastal communities in the state's southwest region.
-
C.
Forrest
Forrest "Phog" Allen was a pioneering American college basketball coach, often called the "Father of Basketball Coaching," who led the University of Kansas program for decades and mentored numerous future coaching legends.
-
D.
Forrest
Forrest is the commonly used short form of the name Forrest Church, an American Unitarian Universalist minister, theologian, and author.
-
E.
Forrest
chosen
Forrest is a masculine given name of English origin, traditionally associated with nature and woodland imagery.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21a52ac8190b4374aa0fc45683a |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab07bdcc819086479178e5b8b679 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.