Triple
T15700520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena Grove |
E380579
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Byron Bunch |
E544752
|
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: Byron Bunch | Statement: [Lena Grove, hasRelationshipWith, Byron Bunch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byron Bunch Context triple: [Lena Grove, hasRelationshipWith, Byron Bunch]
-
A.
Byron Bunch
chosen
Byron Bunch is a hardworking, morally upright mill worker in William Faulkner’s novel "Light in August," known for his quiet compassion and unrequited love for Lena Grove.
-
B.
Byron Bowers
Byron Bowers is an American stand-up comedian, writer, and actor known for his work in television, film, and comedy specials.
-
C.
Byron Metcalf
Byron Metcalf is an American musician and producer known for his work in shamanic and ambient percussion-based music.
-
D.
Byron Simpson
Byron Simpson is a screenwriter best known for co-writing the animated adventure film "The Rescuers Down Under."
-
E.
Bryan Bedford
Bryan Bedford is the young boy central to the 1994 film "Miracle on 34th Street," whose belief in Santa Claus becomes a key focus of the story.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6d71308190971c10c599da9645 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa12713588190a888d6f6dd4290e1 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.