Triple
T30173016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Thomas |
E766971
|
entity |
| Predicate | residenceDuringMarriageToDrewBarrymore |
P84162
|
FINISHED |
| Object | Los Angeles |
—
|
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: Los Angeles | Statement: [Jeremy Thomas, residenceDuringMarriageToDrewBarrymore, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceDuringMarriageToDrewBarrymore Context triple: [Jeremy Thomas, residenceDuringMarriageToDrewBarrymore, Los Angeles]
-
A.
residenceDuringMarriage
chosen
Indicates the place where spouses lived or maintained their home during the period of their marriage.
-
B.
residenceDuringLaterYearsOfSpouse
Indicates that an entity lived in a particular place during the later years of their spouse’s life.
-
C.
residenceBeforeMarriage
Indicates that an individual lived at a particular residence prior to their marriage.
-
D.
afterMarriageResidence
Indicates the place or arrangement where individuals live following their marriage.
-
E.
marriedToSteveHarveyDuring
Indicates that someone was married to Steve Harvey during a specified time period.
- F. None of above.
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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 7:24 p.m.