Triple
T4091542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labori |
E87714
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Labori |
E87714
|
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: Labori | Statement: [Labori, familyName, Labori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labori Context triple: [Labori, familyName, Labori]
-
A.
Labori
chosen
Labori was a prominent French defense lawyer best known for representing Alfred Dreyfus during the politically charged Dreyfus affair.
-
B.
Laborec
Laborec is a river in eastern Slovakia that flows through the Carpathian region and is a tributary of the Latorica River.
-
C.
Laborem exercens
Laborem exercens is a 1981 social encyclical by Pope John Paul II that reflects on the dignity of human work and the rights of workers in modern economic systems.
-
D.
Jobes
Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
-
E.
City of Workers
"City of Workers" is a nickname for Lawrence, Massachusetts, reflecting its historic role as a major industrial mill city with a large working-class population.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcac77788190a5e934fe7c46a1fa |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b69a7908190a53839f7ebfd011c |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:39 p.m.