Triple
T8503949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Gardner |
E201287
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Grendel |
E114824
|
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: Grendel | Statement: [John Gardner, notableWork, Grendel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grendel Context triple: [John Gardner, notableWork, Grendel]
-
A.
Grendel
chosen
Grendel is the monstrous, man-eating antagonist from the Old English epic poem "Beowulf," often interpreted as a symbol of chaos and evil.
-
B.
6.5 Grendel
6.5 Grendel is an intermediate rifle cartridge designed to extend the effective range and accuracy of AR-15–style rifles while maintaining manageable recoil.
-
C.
Grendel's mother
Grendel's mother is a fearsome, vengeful monster from the Old English epic poem "Beowulf," known for attacking the Danes to avenge her son's death.
-
D.
The Beast
The Beast is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
-
E.
The Beast
The Beast is a 1996 American made-for-television miniseries adaptation of Peter Benchley’s novel about a giant squid terrorizing a coastal community.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59d67d081908155a43b9b463fe3 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e26a3108190a48b00c2927be971 |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:14 p.m.