Triple
T9198900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woody Guthrie |
E220785
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Joady Guthrie |
E220785
|
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: Joady Guthrie | Statement: [Woody Guthrie, child, Joady Guthrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joady Guthrie Context triple: [Woody Guthrie, child, Joady Guthrie]
-
A.
Joady Guthrie
chosen
Joady Guthrie is one of the children of influential American folk singer-songwriter Woody Guthrie.
-
B.
Joady Ben Guthrie
Joady Ben Guthrie is a fictional character in Marvel Comics associated with the Guthrie family, which includes the mutant Cannonball (Sam Guthrie).
-
C.
Rusty Baillie
Rusty Baillie is a pioneering British rock climber and mountaineer known for making historic first ascents in the UK during the mid-20th century.
-
D.
Lee Drinkard
Lee Drinkard is a member of the prominent Drinkard family of gospel singers, descended from matriarch Leontine "Lee" Drinkard.
-
E.
Ned Ryerson
Ned Ryerson is the overly enthusiastic insurance salesman and former classmate who repeatedly accosts Phil Connors in the film "Groundhog Day."
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd880ab808190aa785a5f1e5d5976 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065d8f358819085dec73f25fd5746 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:25 p.m.