Triple
T2858676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucius Quintus Cincinnatus Lamar |
E63263
|
entity |
| Predicate | previouslyHeld |
P18982
|
FINISHED |
| Object | professor of law at the University of Mississippi |
—
|
LITERAL 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: professor of law at the University of Mississippi | Statement: [Lucius Quintus Cincinnatus Lamar, previouslyHeld, professor of law at the University of Mississippi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyHeld Context triple: [Lucius Quintus Cincinnatus Lamar, previouslyHeld, professor of law at the University of Mississippi]
-
A.
heldBefore
Indicates that one entity possessed or maintained control of something at an earlier time than another entity or event.
-
B.
officePreviouslyHeldBy
chosen
Indicates that a particular office or position was formerly occupied by a specified person or entity.
-
C.
lastHeldIn
Indicates that an event or state most recently took place or was hosted in a particular location or context.
-
D.
firstHeldAs
Indicates the initial time or context in which an entity was first possessed, owned, or held by another entity.
-
E.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf89d3b4819086936f26d8683a2a |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.