Triple
T5885903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garret Anderson |
E130860
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Garret |
E227391
|
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: Garret | Statement: [Garret Anderson, givenName, Garret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garret Context triple: [Garret Anderson, givenName, Garret]
-
A.
Garrett
chosen
Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
-
B.
Garth
Garth is a novel by American writer Julian Hawthorne, known as one of his more prominent works of fiction in the late 19th century.
-
C.
Garth
Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
D.
Garth
Garth is one of the central protagonists of the 1970s Canadian science fiction television series "The Starlost," which follows a group of isolated villagers who discover their world is actually part of a vast, failing space ark.
-
E.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03678dd2c819095926f80f25696b0 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13ce8788190b07771180f0fa376 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.