Triple
T31656449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapp Brannigan |
E807868
|
entity |
| Predicate | lawNamedAfter |
P22061
|
FINISHED |
| Object | Brannigan's Law |
—
|
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: Brannigan's Law | Statement: [Zapp Brannigan, lawNamedAfter, Brannigan's Law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawNamedAfter Context triple: [Zapp Brannigan, lawNamedAfter, Brannigan's Law]
-
A.
hasLawNamedAfter
chosen
Indicates that a law or piece of legislation is named in honor of, or directly after, a particular entity.
-
B.
lawEstablishedBy
Indicates that a particular law was created, enacted, or formally instituted by a specific authority, body, or individual.
-
C.
namedAfterLegislation
Indicates that one entity receives its name from a specific piece of legislation.
-
D.
legalCodePromulgatedBy
Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
-
E.
legalCodeName
Indicates that one entity is the official legal code designation or name assigned to another entity within a legal or regulatory system.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a95e38ac819096c03f2b9872260f |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:55 p.m.