Triple
T17723844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Hamilton |
E442408
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Dalton Abbott |
E442408
|
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: Dalton Abbott | Statement: [Linda Hamilton, child, Dalton Abbott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalton Abbott Context triple: [Linda Hamilton, child, Dalton Abbott]
-
A.
Dalton Abbott
chosen
Dalton Abbott is the son of American actress Linda Hamilton, known for her iconic role as Sarah Connor in the "Terminator" film series.
-
B.
Dalton Russell
Dalton Russell is the meticulous mastermind behind the bank heist in the film "Inside Man."
-
C.
Jordan Dalton
Jordan Dalton is the wife of NFL quarterback Andy Dalton and is known for her involvement in charitable and community initiatives alongside him.
-
D.
Dalton Ames
Dalton Ames is a minor but pivotal character in William Faulkner’s novel "The Sound and the Fury," known primarily as Caddy Compson’s lover and a catalyst for the Compson family’s turmoil.
-
E.
Dylan Edmonds
Dylan Edmonds is the son of American television producer and businesswoman Tracey Edmonds.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4748900608190bf5ba04415edaffc |
completed | April 19, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0230324c0881909ba7b299f16b5602 |
completed | May 11, 2026, 7:38 p.m. |
Created at: April 10, 2026, 10:07 a.m.