Triple
T35869530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Overby |
E1037180
|
entity |
| Predicate | partnerInLifeAndWork |
P143781
|
FINISHED |
| Object | Lucinda Williams |
—
|
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: Lucinda Williams | Statement: [Tom Overby, partnerInLifeAndWork, Lucinda Williams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInLifeAndWork Context triple: [Tom Overby, partnerInLifeAndWork, Lucinda Williams]
-
A.
partnerInLifeAndPracticeWith
chosen
Indicates a relationship where two individuals are both life partners and professional collaborators in their work or practice.
-
B.
partnerInWorkOf
Indicates a collaborative relationship where one entity works together with another on a shared task, project, or professional activity.
-
C.
partnerInCareerOf
Indicates a relationship where one entity is a professional or career partner of another, collaborating or sharing a joint career path or venture.
-
D.
partnerInProfession
Indicates that two or more entities share a professional partnership or collaborate together within the same occupation or field.
-
E.
partnerInSocialLifeOf
Indicates that one entity is a partner or companion of another in their social life, sharing social activities, events, or circles.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:06 p.m.