Triple
T18320723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exaggerator |
E438869
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Exaggerator |
—
|
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: Exaggerator | Statement: [Exaggerator, hasName, Exaggerator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Exaggerator Context triple: [Exaggerator, hasName, Exaggerator]
-
A.
Exaggerator
chosen
Exaggerator is an American Thoroughbred racehorse best known for winning the 2016 Preakness Stakes and for being a top-level competitor on the U.S. Triple Crown trail.
-
B.
Tall-talker
Tall-talker is an epithet for Tormund Giantsbane, the boisterous and boastful wildling leader from the world of *Game of Thrones*/*A Song of Ice and Fire*.
-
C.
Stinker
Stinker is the nickname of Harold "Stinker" Pinker, likely used as an informal or humorous moniker.
-
D.
Stinker
Stinker is a derisive nickname given to the character Gollum in J.R.R. Tolkien’s Middle-earth legendarium, particularly in The Lord of the Rings.
-
E.
Heckler
Heckler is a German surname most notably associated with Edmund Heckler, co-founder of the firearms manufacturer Heckler & Koch.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa5a3508190a3025e71c11d79e2 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.