Triple
T22489117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BDD |
E555967
|
entity |
| Predicate | oftenImplementedWith |
P3697
|
FINISHED |
| Object | Behave |
—
|
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: Behave | Statement: [BDD, oftenImplementedWith, Behave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behave Context triple: [BDD, oftenImplementedWith, Behave]
-
A.
Behave
chosen
Behave is an IETF working group focused on standardizing technologies for network address translation (NAT) and IPv4/IPv6 coexistence and interoperability.
-
B.
Behave Yourself
"Behave Yourself" is an instrumental soul track by Booker T. & the M.G.'s, released in 1962 as the B-side to their hit single "Green Onions."
-
C.
Behaving Badly
Behaving Badly is a 2014 teen comedy film starring Nat Wolff as a high school student whose pursuit of his crush spirals into a series of chaotic and outrageous misadventures.
-
D.
How to Be Good
How to Be Good is a comic novel by British author Nick Hornby that explores morality, marriage, and midlife crisis through the perspective of a disillusioned doctor.
-
E.
The Misbehavers
The Misbehavers is a comedic segment in the anthology film "Four Rooms" that follows two unruly children causing escalating chaos in a hotel room under the watch of an increasingly desperate bellhop.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3f3b4c819092bfe6495c61db46 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.