Triple
T37159146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobias Fornell |
E920596
|
entity |
| Predicate | sharesExWifeWith |
P202729
|
FINISHED |
| Object | Leroy Jethro Gibbs |
—
|
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: Leroy Jethro Gibbs | Statement: [Tobias Fornell, sharesExWifeWith, Leroy Jethro Gibbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesExWifeWith Context triple: [Tobias Fornell, sharesExWifeWith, Leroy Jethro Gibbs]
-
A.
exSpouse
Indicates that two people were formerly married to each other but are no longer spouses.
-
B.
spouseIn
Indicates that one entity is the spouse (married partner) of another entity within a specified context or grouping.
-
C.
hasAnotherWife
Indicates that a person is married to more than one wife, specifying the existence of an additional wife beyond the first.
-
D.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
-
E.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
- F. None of above. chosen
Provenance (4 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00b03a50a88190bfb95cdcfc6142a2 |
completed | May 10, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_6a00afe55f248190b2cb4c7e62cc3ffc |
completed | May 10, 2026, 4:18 p.m. |
| PDg | Predicate description generation | batch_6a00b03991148190ad8017ec56dbde6c |
completed | May 10, 2026, 4:20 p.m. |
Created at: May 3, 2026, 4:15 p.m.